NP URI: www.nobleprog.com.hr/robotics-training Attempt to read property "weight" on null /apps/hitra7/npfrontend/includes/functions/category-functions.php:373 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 373 [function] => {closure} [args] => Array ( [0] => 2 [1] => Attempt to read property "weight" on null [2] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [3] => 373 ) ) [1] => Array ( [function] => term_cat_page_sort_by_weight [args] => Array ( [0] => [1] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0.3 [tags] => pl_2500 [excluded_sites] => ) ) ) [2] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-functions.php [line] => 25 [function] => usort [args] => Array ( [0] => Array ( [aerialrobotics] => stdClass Object ( [course_code] => aerialrobotics [hr_nid] => 356447 [title] => Aerial Robotics [requirements] =>

Audience

[overview] => Aerial Robotics is the technology that deals with the designing and modeling of drones, also known as Unmanned Aerial Vehicles (UAVs) and quadrotors. It solves the challenge of autonomous and intelligent flight for various industrial applications. This instructor-led, live training (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Aerial Robotics

Modeling UAVs

Designing UAVs

Understanding the Kinematics of Quadrotors

Understanding State Estimation

Developing Models of Quadrotors

Exploring the Basic Concepts of Flight Control

Motion Planning for Aerial Robotics

Testing UAVs and Quadrotors using Simulators

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [drone] => stdClass Object ( [course_code] => drone [hr_nid] => 356591 [title] => Drone Fundamentals [requirements] =>

Audience

[overview] => Drones (also known as unmanned aerial vehicles or UAVs) are unmanned devices that fly autonomously to complete various tasks in many fields and industries. Drone technology's efficiency and technical capabilities make it useful in many practical applications, such as rescue missions and terrain mapping for agriculture. This instructor-led, live training (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Drones and Autonomous Systems

Learning About Drone Technology Basics

Evaluating Drone Delivery Methods

Exploring Drone Technology

Understanding Policies and Regulations

Working with Unmanned Aerial Systems

Applying Knowledge to Solve Needs

The Future of Drone Technology

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037707 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [dronesforagri] => stdClass Object ( [course_code] => dronesforagri [hr_nid] => 356595 [title] => Drones for Agriculture [requirements] =>

Audience

[overview] => Drones, or unmanned aerial vehicles (UAVs), are becoming prominent devices for optimizing farming and agricultural methods. Drone technology provides efficient solutions to agricultural needs, such as reduced time and costs in acquiring crop data, and better sustainability. This instructor-led, live training (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Agricultural Drones

Working with Drone Technology for Sustainable Agriculture

Exploring Uses of Agricultural Drones

Monitoring Using Remote Sensing

Choosing the Right Drone

Integrating with Farm Management Information Systems (FMIS)

Learning About Related Legislation and Regulations

Mapping the Terrain to Acquire Data

Planning the Flight Mission Using Available Software and Tools

Evaluating and Processing the Data Acquired

Analyzing Captured Imagery

Making Decisions Based on Results

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037708 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [ardupilot] => stdClass Object ( [course_code] => ardupilot [hr_nid] => 307738 [title] => Drone Programming with ArduPilot [requirements] =>

Audience

[overview] => ArduPilot is an open source, unmanned vehicle Autopilot Software Suite for controlling drones. This instructor-led, live training (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: Format of the course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: [outline] =>

Introduction

Downloading and Installing the Software

Preparing the Development Environment

Overview of ArduPilot Suite

Overview of Hardware Boards and Simulation Software

Overview of Python Syntax for Drone Programming

Controlling the Drone Hardware

Communicating with Different Parts

Flying the Simulated Drone

Testing the Drone

Debugging the Code

Extending ArduPilot with ROS (Robot Operating System).

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037487 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [ros] => stdClass Object ( [course_code] => ros [hr_nid] => 278742 [title] => ROS: Programming for Robotics [requirements] =>

Audience

[overview] => ROS stands for Robot Operating System. It is an open source framework that is used to aid in the development of advanced robots. In this instructor-led, live training, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: Format of the course [category_overview] => In this instructor-led, live training in <loc>, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Understanding Basic ROS Concepts

Creating Your First ROS Program

Utilizing the TF Transformation System on ROS

Working with the rqt User Interface

Exploring Robot Models on ROS

The Simulation Description Format (SDF)

Deploying ROS Services

Implementing ROS Actions

Using Simulated Time on ROS

Storing Message Data in ROS Bags

Regression Testing with Realistic Scenarios

Applying Different Debugging Strategies in ROS

Exploring Complex Real-World Applications for ROS

Next Steps Towards Creating Your First ROS Project

Troubleshooting

Closing Remarks

[language] => en [duration] => 21 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosmobilerobots] => stdClass Object ( [course_code] => rosmobilerobots [hr_nid] => 472991 [title] => ROS for Mobile Robots using Python [requirements] =>

Audience

[overview] => ROS (Robot Operating System) is a framework that provides tools and libraries for developing robotic applications. Python is one of the supported programming languages in ROS. A mobile robot is a robot that can move autonomously or semi-autonomously in an environment.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to:Format of the CourseCourse Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to: [outline] =>

Introduction to ROS and Python for Robotics

Understanding ROS

Setting up the Development Environment

Creating and Running ROS Nodes with Python

Creating and Using ROS Topics with Python

Creating and Using ROS Services with Python

Creating and Using ROS Actions with Python

Using ROS Packages and Libraries for Mobile Robots

Integrating ROS with Other Frameworks and Tools

Troubleshooting and Debugging ROS Applications

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1709947881 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [botsazure] => stdClass Object ( [course_code] => botsazure [hr_nid] => 279330 [title] => Developing Intelligent Bots with Azure [requirements] => [overview] => The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to: Audience Format of the course [category_overview] => [outline] =>

Introduction
Overview of Bots
Understanding the Microsoft Bot Framework

Understanding Azure Cognitive Services
Digging Deep into the Bot Builder SDK for .NET

Designing Bots Using Bot Patterns

Overview of Azure Bot Service
Using the Azure Bot Service to Develop Your Intelligent Bot

Summary and Troubleshooting
Closing Remarks

[language] => en [duration] => 14 [status] => published [changed] => 1700037382 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2500 [excluded_sites] => ) [devbot] => stdClass Object ( [course_code] => devbot [hr_nid] => 279334 [title] => Developing a Bot [requirements] => [overview] => A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.By the end of this training, participants will be able to:AudienceFormat of the course [category_overview] => [outline] =>

Introduction

Starting Your Bot Project

Building Your Bot

Launching Your Bot

Overview of Tools for Creating Bots

Overview of Bot Platforms to Build Advanced Bots

Creating a Bot Using Microsoft Bot Framework

Summary
Troubleshooting
Closing Remarks

 

[language] => en [duration] => 14 [status] => published [changed] => 1706666581 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [mechatronics] => stdClass Object ( [course_code] => mechatronics [hr_nid] => 318115 [title] => Artificial Intelligence (AI) for Mechatronics [requirements] =>

Audience

[overview] => Mechatronics (a.k.a. mechatronic engineering) is a combination of mechanical, electronics and computer science. This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Understanding the Concepts of Neural Networks

Understanding Various Learning Methods

Other Computational Intelligence Algorithms

Exploring Artificial Intelligence Approaches to Optimization

Learning about Stochastic Dynamic Programming

Implementing Mechatronic Applications with AI

Case Study: The Intelligent Robotic Car

Programming the Major Systems of a Robot

Implementing AI Capabilities

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037526 [source_language] => en [weight] => 0 [tags] => za_premium,pl_2000 [excluded_sites] => ) [smartrobot] => stdClass Object ( [course_code] => smartrobot [hr_nid] => 278586 [title] => Smart Robots for Developers [requirements] => [overview] => A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world. In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects. The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Section 01

Day 01
Introduction

Physical vs Virtual Smart Robots

The Role of Artificial Intelligence (AI) in Smart Robots

The Role of Big Data in Smart Robots

The Cloud and Smart Robots

Case Study: Mechanical Smart Robots

Hardware components of a Smart Robot

Common Elements of Smart Robots

Development Frameworks for Programming a Smart Robot

Languages for Programming a Smart Robot

Tools for Simulating a Physical Smart Robot

Preparing the Development Environment

Day 02
Programming the Smart Robot

Day 03
Programming the Smart Robot (Continued...)

 

Section 02

Day 04
Programming the Smart Robot (Continued...)

Testing Your Smart Robot

Day 05
Extending a Smart Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Day 06
Crash Course in Deep Learning (Continued...)


Section 03

Day 07
Crash Course in Deep Learning (Continued...)

Day 08
Using Big Data in Your Smart Robot

Day 09
Using Big Data in Your Smart Robot (Continued...)

 

Section 04

Day 10
Programming an Autonomous Deep Learning Smart Robot

Day 11
Programming an Autonomous Deep Learning Smart Robot (Continued...)

Day 12
Data Analytics

Building a Smart Robot Collaboratively

Deploying Your Smart Robot on Physical Hardware

Monitoring and Servicing Smart Robots in the Field

Securing Your Robot

Joining to the Robotics Community

Future Outlook for Smart Robots

Closing Remarks

[language] => en [duration] => 84 [status] => published [changed] => 1700037373 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_1800 [excluded_sites] => ) [abbirb2600id] => stdClass Object ( [course_code] => abbirb2600id [hr_nid] => 464679 [title] => ABB IRB 2600ID Robot Operation and Programming [requirements] =>

Audience

[overview] => The ABB IRB 2600ID Robot Operation and Programming refer to the specialized training and skill development for operating and programming the ABB IRB 2600ID robot, a specific model of industrial robot designed by ABB, a leading robotics and automation company. This instructor-led, live training (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: [outline] =>

Introduction

Basic Operations

Intermediate Operations and Control

Programming I

Advanced Programming and Maintenance

Summary and Next Steps

[language] => en [duration] => 28 [status] => published [changed] => 1701574552 [source_language] => en [weight] => -1003 [tags] => [excluded_sites] => ) [aiforrobotics] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] => Robotics is an area in artificial intelligence (AI) that deals with the programming and designing of intelligent and efficient machines. This instructor-led, live training (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0.1 [tags] => pl_2500 [excluded_sites] => ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0.3 [tags] => pl_2500 [excluded_sites] => ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course About the Hardware Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_language] => en [weight] => 0.2 [tags] => pl_2500 [excluded_sites] => ) [awsrobomaker] => stdClass Object ( [course_code] => awsrobomaker [hr_nid] => 361499 [title] => Amazon Web Services (AWS) RoboMaker [requirements] =>

Audience

[overview] => Amazon Web Services (AWS) RoboMaker is an open source, cloud service that helps users quickly create and deploy robotics applications. AWS RoboMaker enhances the Robot Operating System (ROS) framework with its cloud, machine learning, monitoring, and simulation services. This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. [outline] =>

Introduction

Overview of AWS RoboMaker Features and Architecture

Getting Started with AWS RoboMaker

Developing Applications with the Robot Operating System (ROS)

Working with Robot and Simulation Applications

Building Worlds with Simulation WorldForge

Running Simulation Jobs

Managing Robots, Fleets, and Deployments

Monitoring and Protecting AWS RoboMaker Services

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0 [tags] => pl_3000 [excluded_sites] => ) [buildrobot] => stdClass Object ( [course_code] => buildrobot [hr_nid] => 278908 [title] => Building A Robot from the Ground Up [requirements] => [overview] => In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction

Overview of Commercial Robots

Designing the Arduino Robot

Programming Fundamentals: Loops, Conditionals, Variables, Functions, and Parameters

Assembling the Hardware Components of an Arduino Robot

Programming the Arduino Robot

Testing the Arduino Robot

Troubleshooting

Closing Remarks

[language] => en [duration] => 28 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [mlrobot1] => stdClass Object ( [course_code] => mlrobot1 [hr_nid] => 97749 [title] => Machine Learning for Robotics [requirements] =>

High School maths, basics knowledge of statistics

[overview] => This course introduces machine learning methods in robotics applications. It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition. After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software. [category_overview] => [outline] => [language] => en [duration] => 21 [status] => published [changed] => 1700037164 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [npl_lbg] => stdClass Object ( [course_code] => npl_lbg [hr_nid] => 281702 [title] => Natural Language Processing (NLP) - AI/Robotics [requirements] =>

Knowledge and awareness of NLP principals and an appreciation of AI application in business

[overview] => This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python [category_overview] => [outline] =>

Detailed training outline

  1. Introduction to NLP
  2. Practical Understanding of a Corpus and Dataset
  3. Understanding the Structure of a Sentences
  4. Text data preprocessing
  5. Analyzing Text data
  6. Document Clustering, Classification and Topic Modeling
  7. Identifying Important Text Elements
  8. Entity Extraction, Sentiment Analysis and Advanced Topic Modeling
  9. Case studies
[language] => en [duration] => 21 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [robo_lbg] => stdClass Object ( [course_code] => robo_lbg [hr_nid] => 281706 [title] => Robotics in business - AI/Robotics [requirements] =>

Knowledge and awareness of how Robotics are being deployed in business, Chatbots, RPA, etc

[overview] => This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises. [category_overview] => [outline] =>
  1. Introduction to Robotics process automation
  2. Overview of the RPA tools and Vendors
  3. Robotics Process Automation Jobs
  4. RPA Implementation Plan
  5. Debugging workflow tools and techniques
  6. Deploying RPA in production
  7. RPA best practices
  8. Scaling RPA
  9. Case studies and Use-Cases

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosindustrial] => stdClass Object ( [course_code] => rosindustrial [hr_nid] => 282734 [title] => ROS-Industrial [requirements] => [overview] => ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics. In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction to ROS-Industrial (ROS-I)

Overview of ROS-I Features and Architecture

Installing and Configuring ROS-I

Setting Up the ROS-I Development Environment

Overview of Unified Robot Description Formats (URDFs) on ROS-I

Using Interface Libraries (Drivers) on ROS-I

Tracking Coordinate Frames on ROS-I Using TF

Motion Planning on ROS-I

Creating a Simple MoveIt! Application

Setting Up a New Robot with ROS-I

Working with Descartes on ROS-I

Creating a Simple Descartes Application

Working with Perception on ROS-I

Creating a Simple Perception Application

Performing Path Planning on ROS-I

Building a Perception Pipeline on ROS-I

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037426 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [rov] => [semiconductor] => stdClass Object ( [course_code] => semiconductor [hr_nid] => 441059 [title] => Semiconductor Fundamentals [requirements] =>

Audience

[overview] => Semiconductors are materials that have an electrical conductivity that enables advances in communications, computing, military systems, healthcare, clean energy, transportation, and a lot more innovative applications. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: [outline] =>

Introduction

Materials Properties and Doping

Rudiments of Quantum Mechanics

Equilibrium Carrier Concentration

Carrier Transport, Generation, and Recombination

The Semiconductor Equations

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [semiconductorphysics] => stdClass Object ( [course_code] => semiconductorphysics [hr_nid] => 441075 [title] => Semiconductor Physics [requirements] =>

Audience

[overview] => A semiconductor is a substance whose resistivity lies between the conductors and insulators. The property of resistivity is not the only one that decides a material as a semiconductor, but it has a few properties as follows. Semiconductors have a resistivity that is less than insulators and more than conductors. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: [outline] =>

Introduction

Quantum Theory of Semiconductors

Understanding Carrier Statistics

Semiconductor Currents

Understanding Carrier Dynamics

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1002 [tags] => [excluded_sites] => ) [uipathforipa] => stdClass Object ( [course_code] => uipathforipa [hr_nid] => 307306 [title] => UiPath for Intelligent Process Automation (IPA) [requirements] =>

Audience

[overview] => Intelligent Process Automation, or IPA, refers to the use of Artificial Intelligence (AI), robotics and integration with third-party services to extend the power of RPA. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: [outline] =>

To request a customized course outline for this training, please contact us.

[language] => en [duration] => 14 [status] => published [changed] => 1700037485 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2500 [excluded_sites] => ) ) [1] => term_cat_page_sort_by_weight ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/modules/category/category.php [line] => 16 [function] => term_cat_page_render_course_in_category_v2 [args] => Array ( [0] => 1063 ) ) [4] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 16 [function] => category_menu_callback [args] => Array ( [0] => /robotics-training ) ) [5] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 90 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [6] => Array ( [file] => /apps/hitra7/npfrontend/index.php [line] => 17 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [7] => Array ( [file] => /apps/hitra7/index.php [line] => 58 [args] => Array ( [0] => /apps/hitra7/npfrontend/index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.hr/robotics-training Attempt to read property "weight" on null /apps/hitra7/npfrontend/includes/functions/category-functions.php:373 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 373 [function] => {closure} [args] => Array ( [0] => 2 [1] => Attempt to read property "weight" on null [2] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [3] => 373 ) ) [1] => Array ( [function] => term_cat_page_sort_by_weight [args] => Array ( [0] => stdClass Object ( [course_code] => rosindustrial [hr_nid] => 282734 [title] => ROS-Industrial [requirements] => [overview] => ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics. In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction to ROS-Industrial (ROS-I)

Overview of ROS-I Features and Architecture

Installing and Configuring ROS-I

Setting Up the ROS-I Development Environment

Overview of Unified Robot Description Formats (URDFs) on ROS-I

Using Interface Libraries (Drivers) on ROS-I

Tracking Coordinate Frames on ROS-I Using TF

Motion Planning on ROS-I

Creating a Simple MoveIt! Application

Setting Up a New Robot with ROS-I

Working with Descartes on ROS-I

Creating a Simple Descartes Application

Working with Perception on ROS-I

Creating a Simple Perception Application

Performing Path Planning on ROS-I

Building a Perception Pipeline on ROS-I

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037426 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [1] => ) ) [2] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-functions.php [line] => 25 [function] => usort [args] => Array ( [0] => Array ( [aerialrobotics] => stdClass Object ( [course_code] => aerialrobotics [hr_nid] => 356447 [title] => Aerial Robotics [requirements] =>

Audience

[overview] => Aerial Robotics is the technology that deals with the designing and modeling of drones, also known as Unmanned Aerial Vehicles (UAVs) and quadrotors. It solves the challenge of autonomous and intelligent flight for various industrial applications. This instructor-led, live training (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Aerial Robotics

Modeling UAVs

Designing UAVs

Understanding the Kinematics of Quadrotors

Understanding State Estimation

Developing Models of Quadrotors

Exploring the Basic Concepts of Flight Control

Motion Planning for Aerial Robotics

Testing UAVs and Quadrotors using Simulators

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [drone] => stdClass Object ( [course_code] => drone [hr_nid] => 356591 [title] => Drone Fundamentals [requirements] =>

Audience

[overview] => Drones (also known as unmanned aerial vehicles or UAVs) are unmanned devices that fly autonomously to complete various tasks in many fields and industries. Drone technology's efficiency and technical capabilities make it useful in many practical applications, such as rescue missions and terrain mapping for agriculture. This instructor-led, live training (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Drones and Autonomous Systems

Learning About Drone Technology Basics

Evaluating Drone Delivery Methods

Exploring Drone Technology

Understanding Policies and Regulations

Working with Unmanned Aerial Systems

Applying Knowledge to Solve Needs

The Future of Drone Technology

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037707 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [dronesforagri] => stdClass Object ( [course_code] => dronesforagri [hr_nid] => 356595 [title] => Drones for Agriculture [requirements] =>

Audience

[overview] => Drones, or unmanned aerial vehicles (UAVs), are becoming prominent devices for optimizing farming and agricultural methods. Drone technology provides efficient solutions to agricultural needs, such as reduced time and costs in acquiring crop data, and better sustainability. This instructor-led, live training (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Agricultural Drones

Working with Drone Technology for Sustainable Agriculture

Exploring Uses of Agricultural Drones

Monitoring Using Remote Sensing

Choosing the Right Drone

Integrating with Farm Management Information Systems (FMIS)

Learning About Related Legislation and Regulations

Mapping the Terrain to Acquire Data

Planning the Flight Mission Using Available Software and Tools

Evaluating and Processing the Data Acquired

Analyzing Captured Imagery

Making Decisions Based on Results

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037708 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [ardupilot] => stdClass Object ( [course_code] => ardupilot [hr_nid] => 307738 [title] => Drone Programming with ArduPilot [requirements] =>

Audience

[overview] => ArduPilot is an open source, unmanned vehicle Autopilot Software Suite for controlling drones. This instructor-led, live training (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: Format of the course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: [outline] =>

Introduction

Downloading and Installing the Software

Preparing the Development Environment

Overview of ArduPilot Suite

Overview of Hardware Boards and Simulation Software

Overview of Python Syntax for Drone Programming

Controlling the Drone Hardware

Communicating with Different Parts

Flying the Simulated Drone

Testing the Drone

Debugging the Code

Extending ArduPilot with ROS (Robot Operating System).

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037487 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [ros] => stdClass Object ( [course_code] => ros [hr_nid] => 278742 [title] => ROS: Programming for Robotics [requirements] =>

Audience

[overview] => ROS stands for Robot Operating System. It is an open source framework that is used to aid in the development of advanced robots. In this instructor-led, live training, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: Format of the course [category_overview] => In this instructor-led, live training in <loc>, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Understanding Basic ROS Concepts

Creating Your First ROS Program

Utilizing the TF Transformation System on ROS

Working with the rqt User Interface

Exploring Robot Models on ROS

The Simulation Description Format (SDF)

Deploying ROS Services

Implementing ROS Actions

Using Simulated Time on ROS

Storing Message Data in ROS Bags

Regression Testing with Realistic Scenarios

Applying Different Debugging Strategies in ROS

Exploring Complex Real-World Applications for ROS

Next Steps Towards Creating Your First ROS Project

Troubleshooting

Closing Remarks

[language] => en [duration] => 21 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosmobilerobots] => stdClass Object ( [course_code] => rosmobilerobots [hr_nid] => 472991 [title] => ROS for Mobile Robots using Python [requirements] =>

Audience

[overview] => ROS (Robot Operating System) is a framework that provides tools and libraries for developing robotic applications. Python is one of the supported programming languages in ROS. A mobile robot is a robot that can move autonomously or semi-autonomously in an environment.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to:Format of the CourseCourse Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to: [outline] =>

Introduction to ROS and Python for Robotics

Understanding ROS

Setting up the Development Environment

Creating and Running ROS Nodes with Python

Creating and Using ROS Topics with Python

Creating and Using ROS Services with Python

Creating and Using ROS Actions with Python

Using ROS Packages and Libraries for Mobile Robots

Integrating ROS with Other Frameworks and Tools

Troubleshooting and Debugging ROS Applications

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1709947881 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [botsazure] => stdClass Object ( [course_code] => botsazure [hr_nid] => 279330 [title] => Developing Intelligent Bots with Azure [requirements] => [overview] => The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to: Audience Format of the course [category_overview] => [outline] =>

Introduction
Overview of Bots
Understanding the Microsoft Bot Framework

Understanding Azure Cognitive Services
Digging Deep into the Bot Builder SDK for .NET

Designing Bots Using Bot Patterns

Overview of Azure Bot Service
Using the Azure Bot Service to Develop Your Intelligent Bot

Summary and Troubleshooting
Closing Remarks

[language] => en [duration] => 14 [status] => published [changed] => 1700037382 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2500 [excluded_sites] => ) [devbot] => stdClass Object ( [course_code] => devbot [hr_nid] => 279334 [title] => Developing a Bot [requirements] => [overview] => A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.By the end of this training, participants will be able to:AudienceFormat of the course [category_overview] => [outline] =>

Introduction

Starting Your Bot Project

Building Your Bot

Launching Your Bot

Overview of Tools for Creating Bots

Overview of Bot Platforms to Build Advanced Bots

Creating a Bot Using Microsoft Bot Framework

Summary
Troubleshooting
Closing Remarks

 

[language] => en [duration] => 14 [status] => published [changed] => 1706666581 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [mechatronics] => stdClass Object ( [course_code] => mechatronics [hr_nid] => 318115 [title] => Artificial Intelligence (AI) for Mechatronics [requirements] =>

Audience

[overview] => Mechatronics (a.k.a. mechatronic engineering) is a combination of mechanical, electronics and computer science. This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Understanding the Concepts of Neural Networks

Understanding Various Learning Methods

Other Computational Intelligence Algorithms

Exploring Artificial Intelligence Approaches to Optimization

Learning about Stochastic Dynamic Programming

Implementing Mechatronic Applications with AI

Case Study: The Intelligent Robotic Car

Programming the Major Systems of a Robot

Implementing AI Capabilities

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037526 [source_language] => en [weight] => 0 [tags] => za_premium,pl_2000 [excluded_sites] => ) [smartrobot] => stdClass Object ( [course_code] => smartrobot [hr_nid] => 278586 [title] => Smart Robots for Developers [requirements] => [overview] => A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world. In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects. The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Section 01

Day 01
Introduction

Physical vs Virtual Smart Robots

The Role of Artificial Intelligence (AI) in Smart Robots

The Role of Big Data in Smart Robots

The Cloud and Smart Robots

Case Study: Mechanical Smart Robots

Hardware components of a Smart Robot

Common Elements of Smart Robots

Development Frameworks for Programming a Smart Robot

Languages for Programming a Smart Robot

Tools for Simulating a Physical Smart Robot

Preparing the Development Environment

Day 02
Programming the Smart Robot

Day 03
Programming the Smart Robot (Continued...)

 

Section 02

Day 04
Programming the Smart Robot (Continued...)

Testing Your Smart Robot

Day 05
Extending a Smart Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Day 06
Crash Course in Deep Learning (Continued...)


Section 03

Day 07
Crash Course in Deep Learning (Continued...)

Day 08
Using Big Data in Your Smart Robot

Day 09
Using Big Data in Your Smart Robot (Continued...)

 

Section 04

Day 10
Programming an Autonomous Deep Learning Smart Robot

Day 11
Programming an Autonomous Deep Learning Smart Robot (Continued...)

Day 12
Data Analytics

Building a Smart Robot Collaboratively

Deploying Your Smart Robot on Physical Hardware

Monitoring and Servicing Smart Robots in the Field

Securing Your Robot

Joining to the Robotics Community

Future Outlook for Smart Robots

Closing Remarks

[language] => en [duration] => 84 [status] => published [changed] => 1700037373 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_1800 [excluded_sites] => ) [abbirb2600id] => stdClass Object ( [course_code] => abbirb2600id [hr_nid] => 464679 [title] => ABB IRB 2600ID Robot Operation and Programming [requirements] =>

Audience

[overview] => The ABB IRB 2600ID Robot Operation and Programming refer to the specialized training and skill development for operating and programming the ABB IRB 2600ID robot, a specific model of industrial robot designed by ABB, a leading robotics and automation company. This instructor-led, live training (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: [outline] =>

Introduction

Basic Operations

Intermediate Operations and Control

Programming I

Advanced Programming and Maintenance

Summary and Next Steps

[language] => en [duration] => 28 [status] => published [changed] => 1701574552 [source_language] => en [weight] => -1003 [tags] => [excluded_sites] => ) [aiforrobotics] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] => Robotics is an area in artificial intelligence (AI) that deals with the programming and designing of intelligent and efficient machines. This instructor-led, live training (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0.1 [tags] => pl_2500 [excluded_sites] => ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0.3 [tags] => pl_2500 [excluded_sites] => ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course About the Hardware Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_language] => en [weight] => 0.2 [tags] => pl_2500 [excluded_sites] => ) [awsrobomaker] => stdClass Object ( [course_code] => awsrobomaker [hr_nid] => 361499 [title] => Amazon Web Services (AWS) RoboMaker [requirements] =>

Audience

[overview] => Amazon Web Services (AWS) RoboMaker is an open source, cloud service that helps users quickly create and deploy robotics applications. AWS RoboMaker enhances the Robot Operating System (ROS) framework with its cloud, machine learning, monitoring, and simulation services. This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. [outline] =>

Introduction

Overview of AWS RoboMaker Features and Architecture

Getting Started with AWS RoboMaker

Developing Applications with the Robot Operating System (ROS)

Working with Robot and Simulation Applications

Building Worlds with Simulation WorldForge

Running Simulation Jobs

Managing Robots, Fleets, and Deployments

Monitoring and Protecting AWS RoboMaker Services

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0 [tags] => pl_3000 [excluded_sites] => ) [buildrobot] => stdClass Object ( [course_code] => buildrobot [hr_nid] => 278908 [title] => Building A Robot from the Ground Up [requirements] => [overview] => In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction

Overview of Commercial Robots

Designing the Arduino Robot

Programming Fundamentals: Loops, Conditionals, Variables, Functions, and Parameters

Assembling the Hardware Components of an Arduino Robot

Programming the Arduino Robot

Testing the Arduino Robot

Troubleshooting

Closing Remarks

[language] => en [duration] => 28 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [mlrobot1] => stdClass Object ( [course_code] => mlrobot1 [hr_nid] => 97749 [title] => Machine Learning for Robotics [requirements] =>

High School maths, basics knowledge of statistics

[overview] => This course introduces machine learning methods in robotics applications. It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition. After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software. [category_overview] => [outline] => [language] => en [duration] => 21 [status] => published [changed] => 1700037164 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [npl_lbg] => stdClass Object ( [course_code] => npl_lbg [hr_nid] => 281702 [title] => Natural Language Processing (NLP) - AI/Robotics [requirements] =>

Knowledge and awareness of NLP principals and an appreciation of AI application in business

[overview] => This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python [category_overview] => [outline] =>

Detailed training outline

  1. Introduction to NLP
  2. Practical Understanding of a Corpus and Dataset
  3. Understanding the Structure of a Sentences
  4. Text data preprocessing
  5. Analyzing Text data
  6. Document Clustering, Classification and Topic Modeling
  7. Identifying Important Text Elements
  8. Entity Extraction, Sentiment Analysis and Advanced Topic Modeling
  9. Case studies
[language] => en [duration] => 21 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [robo_lbg] => stdClass Object ( [course_code] => robo_lbg [hr_nid] => 281706 [title] => Robotics in business - AI/Robotics [requirements] =>

Knowledge and awareness of how Robotics are being deployed in business, Chatbots, RPA, etc

[overview] => This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises. [category_overview] => [outline] =>
  1. Introduction to Robotics process automation
  2. Overview of the RPA tools and Vendors
  3. Robotics Process Automation Jobs
  4. RPA Implementation Plan
  5. Debugging workflow tools and techniques
  6. Deploying RPA in production
  7. RPA best practices
  8. Scaling RPA
  9. Case studies and Use-Cases

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosindustrial] => stdClass Object ( [course_code] => rosindustrial [hr_nid] => 282734 [title] => ROS-Industrial [requirements] => [overview] => ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics. In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction to ROS-Industrial (ROS-I)

Overview of ROS-I Features and Architecture

Installing and Configuring ROS-I

Setting Up the ROS-I Development Environment

Overview of Unified Robot Description Formats (URDFs) on ROS-I

Using Interface Libraries (Drivers) on ROS-I

Tracking Coordinate Frames on ROS-I Using TF

Motion Planning on ROS-I

Creating a Simple MoveIt! Application

Setting Up a New Robot with ROS-I

Working with Descartes on ROS-I

Creating a Simple Descartes Application

Working with Perception on ROS-I

Creating a Simple Perception Application

Performing Path Planning on ROS-I

Building a Perception Pipeline on ROS-I

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037426 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [rov] => [semiconductor] => stdClass Object ( [course_code] => semiconductor [hr_nid] => 441059 [title] => Semiconductor Fundamentals [requirements] =>

Audience

[overview] => Semiconductors are materials that have an electrical conductivity that enables advances in communications, computing, military systems, healthcare, clean energy, transportation, and a lot more innovative applications. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: [outline] =>

Introduction

Materials Properties and Doping

Rudiments of Quantum Mechanics

Equilibrium Carrier Concentration

Carrier Transport, Generation, and Recombination

The Semiconductor Equations

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [semiconductorphysics] => stdClass Object ( [course_code] => semiconductorphysics [hr_nid] => 441075 [title] => Semiconductor Physics [requirements] =>

Audience

[overview] => A semiconductor is a substance whose resistivity lies between the conductors and insulators. The property of resistivity is not the only one that decides a material as a semiconductor, but it has a few properties as follows. Semiconductors have a resistivity that is less than insulators and more than conductors. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: [outline] =>

Introduction

Quantum Theory of Semiconductors

Understanding Carrier Statistics

Semiconductor Currents

Understanding Carrier Dynamics

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1002 [tags] => [excluded_sites] => ) [uipathforipa] => stdClass Object ( [course_code] => uipathforipa [hr_nid] => 307306 [title] => UiPath for Intelligent Process Automation (IPA) [requirements] =>

Audience

[overview] => Intelligent Process Automation, or IPA, refers to the use of Artificial Intelligence (AI), robotics and integration with third-party services to extend the power of RPA. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: [outline] =>

To request a customized course outline for this training, please contact us.

[language] => en [duration] => 14 [status] => published [changed] => 1700037485 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2500 [excluded_sites] => ) ) [1] => term_cat_page_sort_by_weight ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/modules/category/category.php [line] => 16 [function] => term_cat_page_render_course_in_category_v2 [args] => Array ( [0] => 1063 ) ) [4] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 16 [function] => category_menu_callback [args] => Array ( [0] => /robotics-training ) ) [5] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 90 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [6] => Array ( [file] => /apps/hitra7/npfrontend/index.php [line] => 17 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [7] => Array ( [file] => /apps/hitra7/index.php [line] => 58 [args] => Array ( [0] => /apps/hitra7/npfrontend/index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.hr/robotics-training Attempt to read property "weight" on null /apps/hitra7/npfrontend/includes/functions/category-functions.php:373 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 373 [function] => {closure} [args] => Array ( [0] => 2 [1] => Attempt to read property "weight" on null [2] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [3] => 373 ) ) [1] => Array ( [function] => term_cat_page_sort_by_weight [args] => Array ( [0] => [1] => stdClass Object ( [course_code] => awsrobomaker [hr_nid] => 361499 [title] => Amazon Web Services (AWS) RoboMaker [requirements] =>

Audience

[overview] => Amazon Web Services (AWS) RoboMaker is an open source, cloud service that helps users quickly create and deploy robotics applications. AWS RoboMaker enhances the Robot Operating System (ROS) framework with its cloud, machine learning, monitoring, and simulation services. This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. [outline] =>

Introduction

Overview of AWS RoboMaker Features and Architecture

Getting Started with AWS RoboMaker

Developing Applications with the Robot Operating System (ROS)

Working with Robot and Simulation Applications

Building Worlds with Simulation WorldForge

Running Simulation Jobs

Managing Robots, Fleets, and Deployments

Monitoring and Protecting AWS RoboMaker Services

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0 [tags] => pl_3000 [excluded_sites] => ) ) ) [2] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-functions.php [line] => 25 [function] => usort [args] => Array ( [0] => Array ( [aerialrobotics] => stdClass Object ( [course_code] => aerialrobotics [hr_nid] => 356447 [title] => Aerial Robotics [requirements] =>

Audience

[overview] => Aerial Robotics is the technology that deals with the designing and modeling of drones, also known as Unmanned Aerial Vehicles (UAVs) and quadrotors. It solves the challenge of autonomous and intelligent flight for various industrial applications. This instructor-led, live training (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Aerial Robotics

Modeling UAVs

Designing UAVs

Understanding the Kinematics of Quadrotors

Understanding State Estimation

Developing Models of Quadrotors

Exploring the Basic Concepts of Flight Control

Motion Planning for Aerial Robotics

Testing UAVs and Quadrotors using Simulators

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [drone] => stdClass Object ( [course_code] => drone [hr_nid] => 356591 [title] => Drone Fundamentals [requirements] =>

Audience

[overview] => Drones (also known as unmanned aerial vehicles or UAVs) are unmanned devices that fly autonomously to complete various tasks in many fields and industries. Drone technology's efficiency and technical capabilities make it useful in many practical applications, such as rescue missions and terrain mapping for agriculture. This instructor-led, live training (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Drones and Autonomous Systems

Learning About Drone Technology Basics

Evaluating Drone Delivery Methods

Exploring Drone Technology

Understanding Policies and Regulations

Working with Unmanned Aerial Systems

Applying Knowledge to Solve Needs

The Future of Drone Technology

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037707 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [dronesforagri] => stdClass Object ( [course_code] => dronesforagri [hr_nid] => 356595 [title] => Drones for Agriculture [requirements] =>

Audience

[overview] => Drones, or unmanned aerial vehicles (UAVs), are becoming prominent devices for optimizing farming and agricultural methods. Drone technology provides efficient solutions to agricultural needs, such as reduced time and costs in acquiring crop data, and better sustainability. This instructor-led, live training (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Agricultural Drones

Working with Drone Technology for Sustainable Agriculture

Exploring Uses of Agricultural Drones

Monitoring Using Remote Sensing

Choosing the Right Drone

Integrating with Farm Management Information Systems (FMIS)

Learning About Related Legislation and Regulations

Mapping the Terrain to Acquire Data

Planning the Flight Mission Using Available Software and Tools

Evaluating and Processing the Data Acquired

Analyzing Captured Imagery

Making Decisions Based on Results

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037708 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [ardupilot] => stdClass Object ( [course_code] => ardupilot [hr_nid] => 307738 [title] => Drone Programming with ArduPilot [requirements] =>

Audience

[overview] => ArduPilot is an open source, unmanned vehicle Autopilot Software Suite for controlling drones. This instructor-led, live training (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: Format of the course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: [outline] =>

Introduction

Downloading and Installing the Software

Preparing the Development Environment

Overview of ArduPilot Suite

Overview of Hardware Boards and Simulation Software

Overview of Python Syntax for Drone Programming

Controlling the Drone Hardware

Communicating with Different Parts

Flying the Simulated Drone

Testing the Drone

Debugging the Code

Extending ArduPilot with ROS (Robot Operating System).

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037487 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [ros] => stdClass Object ( [course_code] => ros [hr_nid] => 278742 [title] => ROS: Programming for Robotics [requirements] =>

Audience

[overview] => ROS stands for Robot Operating System. It is an open source framework that is used to aid in the development of advanced robots. In this instructor-led, live training, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: Format of the course [category_overview] => In this instructor-led, live training in <loc>, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Understanding Basic ROS Concepts

Creating Your First ROS Program

Utilizing the TF Transformation System on ROS

Working with the rqt User Interface

Exploring Robot Models on ROS

The Simulation Description Format (SDF)

Deploying ROS Services

Implementing ROS Actions

Using Simulated Time on ROS

Storing Message Data in ROS Bags

Regression Testing with Realistic Scenarios

Applying Different Debugging Strategies in ROS

Exploring Complex Real-World Applications for ROS

Next Steps Towards Creating Your First ROS Project

Troubleshooting

Closing Remarks

[language] => en [duration] => 21 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosmobilerobots] => stdClass Object ( [course_code] => rosmobilerobots [hr_nid] => 472991 [title] => ROS for Mobile Robots using Python [requirements] =>

Audience

[overview] => ROS (Robot Operating System) is a framework that provides tools and libraries for developing robotic applications. Python is one of the supported programming languages in ROS. A mobile robot is a robot that can move autonomously or semi-autonomously in an environment.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to:Format of the CourseCourse Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to: [outline] =>

Introduction to ROS and Python for Robotics

Understanding ROS

Setting up the Development Environment

Creating and Running ROS Nodes with Python

Creating and Using ROS Topics with Python

Creating and Using ROS Services with Python

Creating and Using ROS Actions with Python

Using ROS Packages and Libraries for Mobile Robots

Integrating ROS with Other Frameworks and Tools

Troubleshooting and Debugging ROS Applications

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1709947881 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [botsazure] => stdClass Object ( [course_code] => botsazure [hr_nid] => 279330 [title] => Developing Intelligent Bots with Azure [requirements] => [overview] => The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to: Audience Format of the course [category_overview] => [outline] =>

Introduction
Overview of Bots
Understanding the Microsoft Bot Framework

Understanding Azure Cognitive Services
Digging Deep into the Bot Builder SDK for .NET

Designing Bots Using Bot Patterns

Overview of Azure Bot Service
Using the Azure Bot Service to Develop Your Intelligent Bot

Summary and Troubleshooting
Closing Remarks

[language] => en [duration] => 14 [status] => published [changed] => 1700037382 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2500 [excluded_sites] => ) [devbot] => stdClass Object ( [course_code] => devbot [hr_nid] => 279334 [title] => Developing a Bot [requirements] => [overview] => A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.By the end of this training, participants will be able to:AudienceFormat of the course [category_overview] => [outline] =>

Introduction

Starting Your Bot Project

Building Your Bot

Launching Your Bot

Overview of Tools for Creating Bots

Overview of Bot Platforms to Build Advanced Bots

Creating a Bot Using Microsoft Bot Framework

Summary
Troubleshooting
Closing Remarks

 

[language] => en [duration] => 14 [status] => published [changed] => 1706666581 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [mechatronics] => stdClass Object ( [course_code] => mechatronics [hr_nid] => 318115 [title] => Artificial Intelligence (AI) for Mechatronics [requirements] =>

Audience

[overview] => Mechatronics (a.k.a. mechatronic engineering) is a combination of mechanical, electronics and computer science. This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Understanding the Concepts of Neural Networks

Understanding Various Learning Methods

Other Computational Intelligence Algorithms

Exploring Artificial Intelligence Approaches to Optimization

Learning about Stochastic Dynamic Programming

Implementing Mechatronic Applications with AI

Case Study: The Intelligent Robotic Car

Programming the Major Systems of a Robot

Implementing AI Capabilities

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037526 [source_language] => en [weight] => 0 [tags] => za_premium,pl_2000 [excluded_sites] => ) [smartrobot] => stdClass Object ( [course_code] => smartrobot [hr_nid] => 278586 [title] => Smart Robots for Developers [requirements] => [overview] => A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world. In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects. The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Section 01

Day 01
Introduction

Physical vs Virtual Smart Robots

The Role of Artificial Intelligence (AI) in Smart Robots

The Role of Big Data in Smart Robots

The Cloud and Smart Robots

Case Study: Mechanical Smart Robots

Hardware components of a Smart Robot

Common Elements of Smart Robots

Development Frameworks for Programming a Smart Robot

Languages for Programming a Smart Robot

Tools for Simulating a Physical Smart Robot

Preparing the Development Environment

Day 02
Programming the Smart Robot

Day 03
Programming the Smart Robot (Continued...)

 

Section 02

Day 04
Programming the Smart Robot (Continued...)

Testing Your Smart Robot

Day 05
Extending a Smart Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Day 06
Crash Course in Deep Learning (Continued...)


Section 03

Day 07
Crash Course in Deep Learning (Continued...)

Day 08
Using Big Data in Your Smart Robot

Day 09
Using Big Data in Your Smart Robot (Continued...)

 

Section 04

Day 10
Programming an Autonomous Deep Learning Smart Robot

Day 11
Programming an Autonomous Deep Learning Smart Robot (Continued...)

Day 12
Data Analytics

Building a Smart Robot Collaboratively

Deploying Your Smart Robot on Physical Hardware

Monitoring and Servicing Smart Robots in the Field

Securing Your Robot

Joining to the Robotics Community

Future Outlook for Smart Robots

Closing Remarks

[language] => en [duration] => 84 [status] => published [changed] => 1700037373 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_1800 [excluded_sites] => ) [abbirb2600id] => stdClass Object ( [course_code] => abbirb2600id [hr_nid] => 464679 [title] => ABB IRB 2600ID Robot Operation and Programming [requirements] =>

Audience

[overview] => The ABB IRB 2600ID Robot Operation and Programming refer to the specialized training and skill development for operating and programming the ABB IRB 2600ID robot, a specific model of industrial robot designed by ABB, a leading robotics and automation company. This instructor-led, live training (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: [outline] =>

Introduction

Basic Operations

Intermediate Operations and Control

Programming I

Advanced Programming and Maintenance

Summary and Next Steps

[language] => en [duration] => 28 [status] => published [changed] => 1701574552 [source_language] => en [weight] => -1003 [tags] => [excluded_sites] => ) [aiforrobotics] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] => Robotics is an area in artificial intelligence (AI) that deals with the programming and designing of intelligent and efficient machines. This instructor-led, live training (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0.1 [tags] => pl_2500 [excluded_sites] => ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0.3 [tags] => pl_2500 [excluded_sites] => ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course About the Hardware Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_language] => en [weight] => 0.2 [tags] => pl_2500 [excluded_sites] => ) [awsrobomaker] => stdClass Object ( [course_code] => awsrobomaker [hr_nid] => 361499 [title] => Amazon Web Services (AWS) RoboMaker [requirements] =>

Audience

[overview] => Amazon Web Services (AWS) RoboMaker is an open source, cloud service that helps users quickly create and deploy robotics applications. AWS RoboMaker enhances the Robot Operating System (ROS) framework with its cloud, machine learning, monitoring, and simulation services. This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. [outline] =>

Introduction

Overview of AWS RoboMaker Features and Architecture

Getting Started with AWS RoboMaker

Developing Applications with the Robot Operating System (ROS)

Working with Robot and Simulation Applications

Building Worlds with Simulation WorldForge

Running Simulation Jobs

Managing Robots, Fleets, and Deployments

Monitoring and Protecting AWS RoboMaker Services

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0 [tags] => pl_3000 [excluded_sites] => ) [buildrobot] => stdClass Object ( [course_code] => buildrobot [hr_nid] => 278908 [title] => Building A Robot from the Ground Up [requirements] => [overview] => In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction

Overview of Commercial Robots

Designing the Arduino Robot

Programming Fundamentals: Loops, Conditionals, Variables, Functions, and Parameters

Assembling the Hardware Components of an Arduino Robot

Programming the Arduino Robot

Testing the Arduino Robot

Troubleshooting

Closing Remarks

[language] => en [duration] => 28 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [mlrobot1] => stdClass Object ( [course_code] => mlrobot1 [hr_nid] => 97749 [title] => Machine Learning for Robotics [requirements] =>

High School maths, basics knowledge of statistics

[overview] => This course introduces machine learning methods in robotics applications. It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition. After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software. [category_overview] => [outline] => [language] => en [duration] => 21 [status] => published [changed] => 1700037164 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [npl_lbg] => stdClass Object ( [course_code] => npl_lbg [hr_nid] => 281702 [title] => Natural Language Processing (NLP) - AI/Robotics [requirements] =>

Knowledge and awareness of NLP principals and an appreciation of AI application in business

[overview] => This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python [category_overview] => [outline] =>

Detailed training outline

  1. Introduction to NLP
  2. Practical Understanding of a Corpus and Dataset
  3. Understanding the Structure of a Sentences
  4. Text data preprocessing
  5. Analyzing Text data
  6. Document Clustering, Classification and Topic Modeling
  7. Identifying Important Text Elements
  8. Entity Extraction, Sentiment Analysis and Advanced Topic Modeling
  9. Case studies
[language] => en [duration] => 21 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [robo_lbg] => stdClass Object ( [course_code] => robo_lbg [hr_nid] => 281706 [title] => Robotics in business - AI/Robotics [requirements] =>

Knowledge and awareness of how Robotics are being deployed in business, Chatbots, RPA, etc

[overview] => This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises. [category_overview] => [outline] =>
  1. Introduction to Robotics process automation
  2. Overview of the RPA tools and Vendors
  3. Robotics Process Automation Jobs
  4. RPA Implementation Plan
  5. Debugging workflow tools and techniques
  6. Deploying RPA in production
  7. RPA best practices
  8. Scaling RPA
  9. Case studies and Use-Cases

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosindustrial] => stdClass Object ( [course_code] => rosindustrial [hr_nid] => 282734 [title] => ROS-Industrial [requirements] => [overview] => ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics. In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction to ROS-Industrial (ROS-I)

Overview of ROS-I Features and Architecture

Installing and Configuring ROS-I

Setting Up the ROS-I Development Environment

Overview of Unified Robot Description Formats (URDFs) on ROS-I

Using Interface Libraries (Drivers) on ROS-I

Tracking Coordinate Frames on ROS-I Using TF

Motion Planning on ROS-I

Creating a Simple MoveIt! Application

Setting Up a New Robot with ROS-I

Working with Descartes on ROS-I

Creating a Simple Descartes Application

Working with Perception on ROS-I

Creating a Simple Perception Application

Performing Path Planning on ROS-I

Building a Perception Pipeline on ROS-I

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037426 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [rov] => [semiconductor] => stdClass Object ( [course_code] => semiconductor [hr_nid] => 441059 [title] => Semiconductor Fundamentals [requirements] =>

Audience

[overview] => Semiconductors are materials that have an electrical conductivity that enables advances in communications, computing, military systems, healthcare, clean energy, transportation, and a lot more innovative applications. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: [outline] =>

Introduction

Materials Properties and Doping

Rudiments of Quantum Mechanics

Equilibrium Carrier Concentration

Carrier Transport, Generation, and Recombination

The Semiconductor Equations

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [semiconductorphysics] => stdClass Object ( [course_code] => semiconductorphysics [hr_nid] => 441075 [title] => Semiconductor Physics [requirements] =>

Audience

[overview] => A semiconductor is a substance whose resistivity lies between the conductors and insulators. The property of resistivity is not the only one that decides a material as a semiconductor, but it has a few properties as follows. Semiconductors have a resistivity that is less than insulators and more than conductors. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: [outline] =>

Introduction

Quantum Theory of Semiconductors

Understanding Carrier Statistics

Semiconductor Currents

Understanding Carrier Dynamics

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1002 [tags] => [excluded_sites] => ) [uipathforipa] => stdClass Object ( [course_code] => uipathforipa [hr_nid] => 307306 [title] => UiPath for Intelligent Process Automation (IPA) [requirements] =>

Audience

[overview] => Intelligent Process Automation, or IPA, refers to the use of Artificial Intelligence (AI), robotics and integration with third-party services to extend the power of RPA. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: [outline] =>

To request a customized course outline for this training, please contact us.

[language] => en [duration] => 14 [status] => published [changed] => 1700037485 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2500 [excluded_sites] => ) ) [1] => term_cat_page_sort_by_weight ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/modules/category/category.php [line] => 16 [function] => term_cat_page_render_course_in_category_v2 [args] => Array ( [0] => 1063 ) ) [4] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 16 [function] => category_menu_callback [args] => Array ( [0] => /robotics-training ) ) [5] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 90 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [6] => Array ( [file] => /apps/hitra7/npfrontend/index.php [line] => 17 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [7] => Array ( [file] => /apps/hitra7/index.php [line] => 58 [args] => Array ( [0] => /apps/hitra7/npfrontend/index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.hr/robotics-training Attempt to read property "weight" on null /apps/hitra7/npfrontend/includes/functions/category-functions.php:373 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 373 [function] => {closure} [args] => Array ( [0] => 2 [1] => Attempt to read property "weight" on null [2] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [3] => 373 ) ) [1] => Array ( [function] => term_cat_page_sort_by_weight [args] => Array ( [0] => [1] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course About the Hardware Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_language] => en [weight] => 0.2 [tags] => pl_2500 [excluded_sites] => ) ) ) [2] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-functions.php [line] => 25 [function] => usort [args] => Array ( [0] => Array ( [aerialrobotics] => stdClass Object ( [course_code] => aerialrobotics [hr_nid] => 356447 [title] => Aerial Robotics [requirements] =>

Audience

[overview] => Aerial Robotics is the technology that deals with the designing and modeling of drones, also known as Unmanned Aerial Vehicles (UAVs) and quadrotors. It solves the challenge of autonomous and intelligent flight for various industrial applications. This instructor-led, live training (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Aerial Robotics

Modeling UAVs

Designing UAVs

Understanding the Kinematics of Quadrotors

Understanding State Estimation

Developing Models of Quadrotors

Exploring the Basic Concepts of Flight Control

Motion Planning for Aerial Robotics

Testing UAVs and Quadrotors using Simulators

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [drone] => stdClass Object ( [course_code] => drone [hr_nid] => 356591 [title] => Drone Fundamentals [requirements] =>

Audience

[overview] => Drones (also known as unmanned aerial vehicles or UAVs) are unmanned devices that fly autonomously to complete various tasks in many fields and industries. Drone technology's efficiency and technical capabilities make it useful in many practical applications, such as rescue missions and terrain mapping for agriculture. This instructor-led, live training (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Drones and Autonomous Systems

Learning About Drone Technology Basics

Evaluating Drone Delivery Methods

Exploring Drone Technology

Understanding Policies and Regulations

Working with Unmanned Aerial Systems

Applying Knowledge to Solve Needs

The Future of Drone Technology

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037707 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [dronesforagri] => stdClass Object ( [course_code] => dronesforagri [hr_nid] => 356595 [title] => Drones for Agriculture [requirements] =>

Audience

[overview] => Drones, or unmanned aerial vehicles (UAVs), are becoming prominent devices for optimizing farming and agricultural methods. Drone technology provides efficient solutions to agricultural needs, such as reduced time and costs in acquiring crop data, and better sustainability. This instructor-led, live training (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Agricultural Drones

Working with Drone Technology for Sustainable Agriculture

Exploring Uses of Agricultural Drones

Monitoring Using Remote Sensing

Choosing the Right Drone

Integrating with Farm Management Information Systems (FMIS)

Learning About Related Legislation and Regulations

Mapping the Terrain to Acquire Data

Planning the Flight Mission Using Available Software and Tools

Evaluating and Processing the Data Acquired

Analyzing Captured Imagery

Making Decisions Based on Results

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037708 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [ardupilot] => stdClass Object ( [course_code] => ardupilot [hr_nid] => 307738 [title] => Drone Programming with ArduPilot [requirements] =>

Audience

[overview] => ArduPilot is an open source, unmanned vehicle Autopilot Software Suite for controlling drones. This instructor-led, live training (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: Format of the course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: [outline] =>

Introduction

Downloading and Installing the Software

Preparing the Development Environment

Overview of ArduPilot Suite

Overview of Hardware Boards and Simulation Software

Overview of Python Syntax for Drone Programming

Controlling the Drone Hardware

Communicating with Different Parts

Flying the Simulated Drone

Testing the Drone

Debugging the Code

Extending ArduPilot with ROS (Robot Operating System).

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037487 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [ros] => stdClass Object ( [course_code] => ros [hr_nid] => 278742 [title] => ROS: Programming for Robotics [requirements] =>

Audience

[overview] => ROS stands for Robot Operating System. It is an open source framework that is used to aid in the development of advanced robots. In this instructor-led, live training, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: Format of the course [category_overview] => In this instructor-led, live training in <loc>, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Understanding Basic ROS Concepts

Creating Your First ROS Program

Utilizing the TF Transformation System on ROS

Working with the rqt User Interface

Exploring Robot Models on ROS

The Simulation Description Format (SDF)

Deploying ROS Services

Implementing ROS Actions

Using Simulated Time on ROS

Storing Message Data in ROS Bags

Regression Testing with Realistic Scenarios

Applying Different Debugging Strategies in ROS

Exploring Complex Real-World Applications for ROS

Next Steps Towards Creating Your First ROS Project

Troubleshooting

Closing Remarks

[language] => en [duration] => 21 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosmobilerobots] => stdClass Object ( [course_code] => rosmobilerobots [hr_nid] => 472991 [title] => ROS for Mobile Robots using Python [requirements] =>

Audience

[overview] => ROS (Robot Operating System) is a framework that provides tools and libraries for developing robotic applications. Python is one of the supported programming languages in ROS. A mobile robot is a robot that can move autonomously or semi-autonomously in an environment.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to:Format of the CourseCourse Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to: [outline] =>

Introduction to ROS and Python for Robotics

Understanding ROS

Setting up the Development Environment

Creating and Running ROS Nodes with Python

Creating and Using ROS Topics with Python

Creating and Using ROS Services with Python

Creating and Using ROS Actions with Python

Using ROS Packages and Libraries for Mobile Robots

Integrating ROS with Other Frameworks and Tools

Troubleshooting and Debugging ROS Applications

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1709947881 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [botsazure] => stdClass Object ( [course_code] => botsazure [hr_nid] => 279330 [title] => Developing Intelligent Bots with Azure [requirements] => [overview] => The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to: Audience Format of the course [category_overview] => [outline] =>

Introduction
Overview of Bots
Understanding the Microsoft Bot Framework

Understanding Azure Cognitive Services
Digging Deep into the Bot Builder SDK for .NET

Designing Bots Using Bot Patterns

Overview of Azure Bot Service
Using the Azure Bot Service to Develop Your Intelligent Bot

Summary and Troubleshooting
Closing Remarks

[language] => en [duration] => 14 [status] => published [changed] => 1700037382 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2500 [excluded_sites] => ) [devbot] => stdClass Object ( [course_code] => devbot [hr_nid] => 279334 [title] => Developing a Bot [requirements] => [overview] => A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.By the end of this training, participants will be able to:AudienceFormat of the course [category_overview] => [outline] =>

Introduction

Starting Your Bot Project

Building Your Bot

Launching Your Bot

Overview of Tools for Creating Bots

Overview of Bot Platforms to Build Advanced Bots

Creating a Bot Using Microsoft Bot Framework

Summary
Troubleshooting
Closing Remarks

 

[language] => en [duration] => 14 [status] => published [changed] => 1706666581 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [mechatronics] => stdClass Object ( [course_code] => mechatronics [hr_nid] => 318115 [title] => Artificial Intelligence (AI) for Mechatronics [requirements] =>

Audience

[overview] => Mechatronics (a.k.a. mechatronic engineering) is a combination of mechanical, electronics and computer science. This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Understanding the Concepts of Neural Networks

Understanding Various Learning Methods

Other Computational Intelligence Algorithms

Exploring Artificial Intelligence Approaches to Optimization

Learning about Stochastic Dynamic Programming

Implementing Mechatronic Applications with AI

Case Study: The Intelligent Robotic Car

Programming the Major Systems of a Robot

Implementing AI Capabilities

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037526 [source_language] => en [weight] => 0 [tags] => za_premium,pl_2000 [excluded_sites] => ) [smartrobot] => stdClass Object ( [course_code] => smartrobot [hr_nid] => 278586 [title] => Smart Robots for Developers [requirements] => [overview] => A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world. In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects. The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Section 01

Day 01
Introduction

Physical vs Virtual Smart Robots

The Role of Artificial Intelligence (AI) in Smart Robots

The Role of Big Data in Smart Robots

The Cloud and Smart Robots

Case Study: Mechanical Smart Robots

Hardware components of a Smart Robot

Common Elements of Smart Robots

Development Frameworks for Programming a Smart Robot

Languages for Programming a Smart Robot

Tools for Simulating a Physical Smart Robot

Preparing the Development Environment

Day 02
Programming the Smart Robot

Day 03
Programming the Smart Robot (Continued...)

 

Section 02

Day 04
Programming the Smart Robot (Continued...)

Testing Your Smart Robot

Day 05
Extending a Smart Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Day 06
Crash Course in Deep Learning (Continued...)


Section 03

Day 07
Crash Course in Deep Learning (Continued...)

Day 08
Using Big Data in Your Smart Robot

Day 09
Using Big Data in Your Smart Robot (Continued...)

 

Section 04

Day 10
Programming an Autonomous Deep Learning Smart Robot

Day 11
Programming an Autonomous Deep Learning Smart Robot (Continued...)

Day 12
Data Analytics

Building a Smart Robot Collaboratively

Deploying Your Smart Robot on Physical Hardware

Monitoring and Servicing Smart Robots in the Field

Securing Your Robot

Joining to the Robotics Community

Future Outlook for Smart Robots

Closing Remarks

[language] => en [duration] => 84 [status] => published [changed] => 1700037373 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_1800 [excluded_sites] => ) [abbirb2600id] => stdClass Object ( [course_code] => abbirb2600id [hr_nid] => 464679 [title] => ABB IRB 2600ID Robot Operation and Programming [requirements] =>

Audience

[overview] => The ABB IRB 2600ID Robot Operation and Programming refer to the specialized training and skill development for operating and programming the ABB IRB 2600ID robot, a specific model of industrial robot designed by ABB, a leading robotics and automation company. This instructor-led, live training (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: [outline] =>

Introduction

Basic Operations

Intermediate Operations and Control

Programming I

Advanced Programming and Maintenance

Summary and Next Steps

[language] => en [duration] => 28 [status] => published [changed] => 1701574552 [source_language] => en [weight] => -1003 [tags] => [excluded_sites] => ) [aiforrobotics] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] => Robotics is an area in artificial intelligence (AI) that deals with the programming and designing of intelligent and efficient machines. This instructor-led, live training (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0.1 [tags] => pl_2500 [excluded_sites] => ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0.3 [tags] => pl_2500 [excluded_sites] => ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course About the Hardware Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_language] => en [weight] => 0.2 [tags] => pl_2500 [excluded_sites] => ) [awsrobomaker] => stdClass Object ( [course_code] => awsrobomaker [hr_nid] => 361499 [title] => Amazon Web Services (AWS) RoboMaker [requirements] =>

Audience

[overview] => Amazon Web Services (AWS) RoboMaker is an open source, cloud service that helps users quickly create and deploy robotics applications. AWS RoboMaker enhances the Robot Operating System (ROS) framework with its cloud, machine learning, monitoring, and simulation services. This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. [outline] =>

Introduction

Overview of AWS RoboMaker Features and Architecture

Getting Started with AWS RoboMaker

Developing Applications with the Robot Operating System (ROS)

Working with Robot and Simulation Applications

Building Worlds with Simulation WorldForge

Running Simulation Jobs

Managing Robots, Fleets, and Deployments

Monitoring and Protecting AWS RoboMaker Services

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0 [tags] => pl_3000 [excluded_sites] => ) [buildrobot] => stdClass Object ( [course_code] => buildrobot [hr_nid] => 278908 [title] => Building A Robot from the Ground Up [requirements] => [overview] => In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction

Overview of Commercial Robots

Designing the Arduino Robot

Programming Fundamentals: Loops, Conditionals, Variables, Functions, and Parameters

Assembling the Hardware Components of an Arduino Robot

Programming the Arduino Robot

Testing the Arduino Robot

Troubleshooting

Closing Remarks

[language] => en [duration] => 28 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [mlrobot1] => stdClass Object ( [course_code] => mlrobot1 [hr_nid] => 97749 [title] => Machine Learning for Robotics [requirements] =>

High School maths, basics knowledge of statistics

[overview] => This course introduces machine learning methods in robotics applications. It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition. After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software. [category_overview] => [outline] => [language] => en [duration] => 21 [status] => published [changed] => 1700037164 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [npl_lbg] => stdClass Object ( [course_code] => npl_lbg [hr_nid] => 281702 [title] => Natural Language Processing (NLP) - AI/Robotics [requirements] =>

Knowledge and awareness of NLP principals and an appreciation of AI application in business

[overview] => This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python [category_overview] => [outline] =>

Detailed training outline

  1. Introduction to NLP
  2. Practical Understanding of a Corpus and Dataset
  3. Understanding the Structure of a Sentences
  4. Text data preprocessing
  5. Analyzing Text data
  6. Document Clustering, Classification and Topic Modeling
  7. Identifying Important Text Elements
  8. Entity Extraction, Sentiment Analysis and Advanced Topic Modeling
  9. Case studies
[language] => en [duration] => 21 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [robo_lbg] => stdClass Object ( [course_code] => robo_lbg [hr_nid] => 281706 [title] => Robotics in business - AI/Robotics [requirements] =>

Knowledge and awareness of how Robotics are being deployed in business, Chatbots, RPA, etc

[overview] => This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises. [category_overview] => [outline] =>
  1. Introduction to Robotics process automation
  2. Overview of the RPA tools and Vendors
  3. Robotics Process Automation Jobs
  4. RPA Implementation Plan
  5. Debugging workflow tools and techniques
  6. Deploying RPA in production
  7. RPA best practices
  8. Scaling RPA
  9. Case studies and Use-Cases

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosindustrial] => stdClass Object ( [course_code] => rosindustrial [hr_nid] => 282734 [title] => ROS-Industrial [requirements] => [overview] => ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics. In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction to ROS-Industrial (ROS-I)

Overview of ROS-I Features and Architecture

Installing and Configuring ROS-I

Setting Up the ROS-I Development Environment

Overview of Unified Robot Description Formats (URDFs) on ROS-I

Using Interface Libraries (Drivers) on ROS-I

Tracking Coordinate Frames on ROS-I Using TF

Motion Planning on ROS-I

Creating a Simple MoveIt! Application

Setting Up a New Robot with ROS-I

Working with Descartes on ROS-I

Creating a Simple Descartes Application

Working with Perception on ROS-I

Creating a Simple Perception Application

Performing Path Planning on ROS-I

Building a Perception Pipeline on ROS-I

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037426 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [rov] => [semiconductor] => stdClass Object ( [course_code] => semiconductor [hr_nid] => 441059 [title] => Semiconductor Fundamentals [requirements] =>

Audience

[overview] => Semiconductors are materials that have an electrical conductivity that enables advances in communications, computing, military systems, healthcare, clean energy, transportation, and a lot more innovative applications. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: [outline] =>

Introduction

Materials Properties and Doping

Rudiments of Quantum Mechanics

Equilibrium Carrier Concentration

Carrier Transport, Generation, and Recombination

The Semiconductor Equations

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [semiconductorphysics] => stdClass Object ( [course_code] => semiconductorphysics [hr_nid] => 441075 [title] => Semiconductor Physics [requirements] =>

Audience

[overview] => A semiconductor is a substance whose resistivity lies between the conductors and insulators. The property of resistivity is not the only one that decides a material as a semiconductor, but it has a few properties as follows. Semiconductors have a resistivity that is less than insulators and more than conductors. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: [outline] =>

Introduction

Quantum Theory of Semiconductors

Understanding Carrier Statistics

Semiconductor Currents

Understanding Carrier Dynamics

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1002 [tags] => [excluded_sites] => ) [uipathforipa] => stdClass Object ( [course_code] => uipathforipa [hr_nid] => 307306 [title] => UiPath for Intelligent Process Automation (IPA) [requirements] =>

Audience

[overview] => Intelligent Process Automation, or IPA, refers to the use of Artificial Intelligence (AI), robotics and integration with third-party services to extend the power of RPA. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: [outline] =>

To request a customized course outline for this training, please contact us.

[language] => en [duration] => 14 [status] => published [changed] => 1700037485 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2500 [excluded_sites] => ) ) [1] => term_cat_page_sort_by_weight ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/modules/category/category.php [line] => 16 [function] => term_cat_page_render_course_in_category_v2 [args] => Array ( [0] => 1063 ) ) [4] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 16 [function] => category_menu_callback [args] => Array ( [0] => /robotics-training ) ) [5] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 90 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [6] => Array ( [file] => /apps/hitra7/npfrontend/index.php [line] => 17 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [7] => Array ( [file] => /apps/hitra7/index.php [line] => 58 [args] => Array ( [0] => /apps/hitra7/npfrontend/index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com.hr/robotics-training Attempt to read property "weight" on null /apps/hitra7/npfrontend/includes/functions/category-functions.php:373 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 373 [function] => {closure} [args] => Array ( [0] => 2 [1] => Attempt to read property "weight" on null [2] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [3] => 373 ) ) [1] => Array ( [function] => term_cat_page_sort_by_weight [args] => Array ( [0] => [1] => stdClass Object ( [course_code] => uipathforipa [hr_nid] => 307306 [title] => UiPath for Intelligent Process Automation (IPA) [requirements] =>

Audience

[overview] => Intelligent Process Automation, or IPA, refers to the use of Artificial Intelligence (AI), robotics and integration with third-party services to extend the power of RPA. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: [outline] =>

To request a customized course outline for this training, please contact us.

[language] => en [duration] => 14 [status] => published [changed] => 1700037485 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2500 [excluded_sites] => ) ) ) [2] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-functions.php [line] => 25 [function] => usort [args] => Array ( [0] => Array ( [aerialrobotics] => stdClass Object ( [course_code] => aerialrobotics [hr_nid] => 356447 [title] => Aerial Robotics [requirements] =>

Audience

[overview] => Aerial Robotics is the technology that deals with the designing and modeling of drones, also known as Unmanned Aerial Vehicles (UAVs) and quadrotors. It solves the challenge of autonomous and intelligent flight for various industrial applications. This instructor-led, live training (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Aerial Robotics

Modeling UAVs

Designing UAVs

Understanding the Kinematics of Quadrotors

Understanding State Estimation

Developing Models of Quadrotors

Exploring the Basic Concepts of Flight Control

Motion Planning for Aerial Robotics

Testing UAVs and Quadrotors using Simulators

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [drone] => stdClass Object ( [course_code] => drone [hr_nid] => 356591 [title] => Drone Fundamentals [requirements] =>

Audience

[overview] => Drones (also known as unmanned aerial vehicles or UAVs) are unmanned devices that fly autonomously to complete various tasks in many fields and industries. Drone technology's efficiency and technical capabilities make it useful in many practical applications, such as rescue missions and terrain mapping for agriculture. This instructor-led, live training (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Drones and Autonomous Systems

Learning About Drone Technology Basics

Evaluating Drone Delivery Methods

Exploring Drone Technology

Understanding Policies and Regulations

Working with Unmanned Aerial Systems

Applying Knowledge to Solve Needs

The Future of Drone Technology

Summary and Conclusion

[language] => en [duration] => 7 [status] => published [changed] => 1700037707 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [dronesforagri] => stdClass Object ( [course_code] => dronesforagri [hr_nid] => 356595 [title] => Drones for Agriculture [requirements] =>

Audience

[overview] => Drones, or unmanned aerial vehicles (UAVs), are becoming prominent devices for optimizing farming and agricultural methods. Drone technology provides efficient solutions to agricultural needs, such as reduced time and costs in acquiring crop data, and better sustainability. This instructor-led, live training (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Agricultural Drones

Working with Drone Technology for Sustainable Agriculture

Exploring Uses of Agricultural Drones

Monitoring Using Remote Sensing

Choosing the Right Drone

Integrating with Farm Management Information Systems (FMIS)

Learning About Related Legislation and Regulations

Mapping the Terrain to Acquire Data

Planning the Flight Mission Using Available Software and Tools

Evaluating and Processing the Data Acquired

Analyzing Captured Imagery

Making Decisions Based on Results

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037708 [source_language] => en [weight] => 0 [tags] => pl_2000 [excluded_sites] => ) [ardupilot] => stdClass Object ( [course_code] => ardupilot [hr_nid] => 307738 [title] => Drone Programming with ArduPilot [requirements] =>

Audience

[overview] => ArduPilot is an open source, unmanned vehicle Autopilot Software Suite for controlling drones. This instructor-led, live training (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: Format of the course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone. By the end of this training, participants will be able to: [outline] =>

Introduction

Downloading and Installing the Software

Preparing the Development Environment

Overview of ArduPilot Suite

Overview of Hardware Boards and Simulation Software

Overview of Python Syntax for Drone Programming

Controlling the Drone Hardware

Communicating with Different Parts

Flying the Simulated Drone

Testing the Drone

Debugging the Code

Extending ArduPilot with ROS (Robot Operating System).

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037487 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [ros] => stdClass Object ( [course_code] => ros [hr_nid] => 278742 [title] => ROS: Programming for Robotics [requirements] =>

Audience

[overview] => ROS stands for Robot Operating System. It is an open source framework that is used to aid in the development of advanced robots. In this instructor-led, live training, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: Format of the course [category_overview] => In this instructor-led, live training in <loc>, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to: [outline] =>

Introduction

Understanding Basic ROS Concepts

Creating Your First ROS Program

Utilizing the TF Transformation System on ROS

Working with the rqt User Interface

Exploring Robot Models on ROS

The Simulation Description Format (SDF)

Deploying ROS Services

Implementing ROS Actions

Using Simulated Time on ROS

Storing Message Data in ROS Bags

Regression Testing with Realistic Scenarios

Applying Different Debugging Strategies in ROS

Exploring Complex Real-World Applications for ROS

Next Steps Towards Creating Your First ROS Project

Troubleshooting

Closing Remarks

[language] => en [duration] => 21 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosmobilerobots] => stdClass Object ( [course_code] => rosmobilerobots [hr_nid] => 472991 [title] => ROS for Mobile Robots using Python [requirements] =>

Audience

[overview] => ROS (Robot Operating System) is a framework that provides tools and libraries for developing robotic applications. Python is one of the supported programming languages in ROS. A mobile robot is a robot that can move autonomously or semi-autonomously in an environment.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to:Format of the CourseCourse Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to: [outline] =>

Introduction to ROS and Python for Robotics

Understanding ROS

Setting up the Development Environment

Creating and Running ROS Nodes with Python

Creating and Using ROS Topics with Python

Creating and Using ROS Services with Python

Creating and Using ROS Actions with Python

Using ROS Packages and Libraries for Mobile Robots

Integrating ROS with Other Frameworks and Tools

Troubleshooting and Debugging ROS Applications

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1709947881 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [botsazure] => stdClass Object ( [course_code] => botsazure [hr_nid] => 279330 [title] => Developing Intelligent Bots with Azure [requirements] => [overview] => The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to: Audience Format of the course [category_overview] => [outline] =>

Introduction
Overview of Bots
Understanding the Microsoft Bot Framework

Understanding Azure Cognitive Services
Digging Deep into the Bot Builder SDK for .NET

Designing Bots Using Bot Patterns

Overview of Azure Bot Service
Using the Azure Bot Service to Develop Your Intelligent Bot

Summary and Troubleshooting
Closing Remarks

[language] => en [duration] => 14 [status] => published [changed] => 1700037382 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2500 [excluded_sites] => ) [devbot] => stdClass Object ( [course_code] => devbot [hr_nid] => 279334 [title] => Developing a Bot [requirements] => [overview] => A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.By the end of this training, participants will be able to:AudienceFormat of the course [category_overview] => [outline] =>

Introduction

Starting Your Bot Project

Building Your Bot

Launching Your Bot

Overview of Tools for Creating Bots

Overview of Bot Platforms to Build Advanced Bots

Creating a Bot Using Microsoft Bot Framework

Summary
Troubleshooting
Closing Remarks

 

[language] => en [duration] => 14 [status] => published [changed] => 1706666581 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [mechatronics] => stdClass Object ( [course_code] => mechatronics [hr_nid] => 318115 [title] => Artificial Intelligence (AI) for Mechatronics [requirements] =>

Audience

[overview] => Mechatronics (a.k.a. mechatronic engineering) is a combination of mechanical, electronics and computer science. This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI)

Understanding the Concepts of Neural Networks

Understanding Various Learning Methods

Other Computational Intelligence Algorithms

Exploring Artificial Intelligence Approaches to Optimization

Learning about Stochastic Dynamic Programming

Implementing Mechatronic Applications with AI

Case Study: The Intelligent Robotic Car

Programming the Major Systems of a Robot

Implementing AI Capabilities

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037526 [source_language] => en [weight] => 0 [tags] => za_premium,pl_2000 [excluded_sites] => ) [smartrobot] => stdClass Object ( [course_code] => smartrobot [hr_nid] => 278586 [title] => Smart Robots for Developers [requirements] => [overview] => A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world. In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects. The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Section 01

Day 01
Introduction

Physical vs Virtual Smart Robots

The Role of Artificial Intelligence (AI) in Smart Robots

The Role of Big Data in Smart Robots

The Cloud and Smart Robots

Case Study: Mechanical Smart Robots

Hardware components of a Smart Robot

Common Elements of Smart Robots

Development Frameworks for Programming a Smart Robot

Languages for Programming a Smart Robot

Tools for Simulating a Physical Smart Robot

Preparing the Development Environment

Day 02
Programming the Smart Robot

Day 03
Programming the Smart Robot (Continued...)

 

Section 02

Day 04
Programming the Smart Robot (Continued...)

Testing Your Smart Robot

Day 05
Extending a Smart Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Day 06
Crash Course in Deep Learning (Continued...)


Section 03

Day 07
Crash Course in Deep Learning (Continued...)

Day 08
Using Big Data in Your Smart Robot

Day 09
Using Big Data in Your Smart Robot (Continued...)

 

Section 04

Day 10
Programming an Autonomous Deep Learning Smart Robot

Day 11
Programming an Autonomous Deep Learning Smart Robot (Continued...)

Day 12
Data Analytics

Building a Smart Robot Collaboratively

Deploying Your Smart Robot on Physical Hardware

Monitoring and Servicing Smart Robots in the Field

Securing Your Robot

Joining to the Robotics Community

Future Outlook for Smart Robots

Closing Remarks

[language] => en [duration] => 84 [status] => published [changed] => 1700037373 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_1800 [excluded_sites] => ) [abbirb2600id] => stdClass Object ( [course_code] => abbirb2600id [hr_nid] => 464679 [title] => ABB IRB 2600ID Robot Operation and Programming [requirements] =>

Audience

[overview] => The ABB IRB 2600ID Robot Operation and Programming refer to the specialized training and skill development for operating and programming the ABB IRB 2600ID robot, a specific model of industrial robot designed by ABB, a leading robotics and automation company. This instructor-led, live training (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to: [outline] =>

Introduction

Basic Operations

Intermediate Operations and Control

Programming I

Advanced Programming and Maintenance

Summary and Next Steps

[language] => en [duration] => 28 [status] => published [changed] => 1701574552 [source_language] => en [weight] => -1003 [tags] => [excluded_sites] => ) [aiforrobotics] => stdClass Object ( [course_code] => aiforrobotics [hr_nid] => 356463 [title] => Artificial Intelligence (AI) for Robotics [requirements] =>

Audience

[overview] => Robotics is an area in artificial intelligence (AI) that deals with the programming and designing of intelligent and efficient machines. This instructor-led, live training (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: [outline] =>

Introduction

Overview of Artificial Intelligence (AI) and Robotics

Understanding Localization

Learning About Robot Motion

Using Probability Tools

Estimating Vehicle State Using Kalman Filter

Tracking Your Robotic Car Using Particle Filter

Exploring Planning and Search Methods

Programming Your AI Robot

Using PID Control

Mapping and Tracking Using SLAM

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037706 [source_language] => en [weight] => 0.1 [tags] => pl_2500 [excluded_sites] => ) [airoboticsfornuclear] => stdClass Object ( [course_code] => airoboticsfornuclear [hr_nid] => 361343 [title] => AI and Robotics for Nuclear - Extended [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Hardware Components of a Robot

Common Elements of Robots

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Tools for Simulating a Physical Robot

 

Week 02

Preparing the Development Environment

Case Study: Mechanical Robots

Programming the Robot

 

Week 03

Programming the Robot (Continued...)

Programming the Robot (Continued...)

Testing Your Robot

 

Week 04

Extending a Robot's Capabilities with Deep Learning

Crash Course in Deep Learning

Crash Course in Deep Learning (Continued...)

 

Week 05

Crash Course in Deep Learning (Continued...)

Using Big Data in Your Robot

Using Big Data in Your Robot (Continued...)

Programming an Autonomous Deep Learning Robot

 

Week 06

Programming an Autonomous Deep Learning Robot (Continued...)

Data Analytics

Deploying a Robot

Securing Your Robot

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 120 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0.3 [tags] => pl_2500 [excluded_sites] => ) [airoboticsnuclear] => stdClass Object ( [course_code] => airoboticsnuclear [hr_nid] => 361295 [title] => AI and Robotics for Nuclear [requirements] =>

Audience

[overview] => Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: Format of the Course About the Hardware Course Customization Options [category_overview] => In this instructor-led, live training in <loc> (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to: [outline] =>

Week 01

Day 01

Introduction

Physical vs Virtual Robots

The Role of Artificial Intelligence (AI) in Robotics

Day 02

The Role of Big Data in Robotics

The Cloud and Robotics

Case Study: Industrial Robots

Day 03

Hardware Components of a Robot

Common Elements of Robots

Day 04

Development Frameworks for Programming a Robot

Languages for Programming a Robot

Day 05

Tools for Simulating a Physical Robot

Tools for Designing the Physical Characteristics of a Robot

Case Study: Mechanical Robots

Week 02

Day 06

Crash Course in Python

Day 07

Preparing for Robot Development

Day 08

Working with Arduino Components

Working with Arduino Communication Modules

Day 09

Constructing a Robot

Team project

Day 10

Controlling the Robot

Team Project

Week 03

Day 11

Programming the Robot

Team Project

Day 12

Programming the Robot (continued...)

Team Project

Day 13

Testing the Robot

Team Project

Day 14

Programming the Robot (Continued...)

Day 15

Programming the Robot (Continued...)

Team Project

Week 04

Day 16

Programming the Robot (Continued...)

Day 17

Programming the Robot (Continued...)

Team Project

Day 18

Programming the Robot (Continued...)

Team Project

Day 19

Deploying the Robot

Securing the Robot

Day 20

Data Analytics

Building a Robot Collaboratively

Future Outlook for Robots in the Science and Energy Field

Summary and Conclusion

[language] => en [duration] => 80 [status] => published [changed] => 1700037743 [source_language] => en [weight] => 0.2 [tags] => pl_2500 [excluded_sites] => ) [awsrobomaker] => stdClass Object ( [course_code] => awsrobomaker [hr_nid] => 361499 [title] => Amazon Web Services (AWS) RoboMaker [requirements] =>

Audience

[overview] => Amazon Web Services (AWS) RoboMaker is an open source, cloud service that helps users quickly create and deploy robotics applications. AWS RoboMaker enhances the Robot Operating System (ROS) framework with its cloud, machine learning, monitoring, and simulation services. This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications. [outline] =>

Introduction

Overview of AWS RoboMaker Features and Architecture

Getting Started with AWS RoboMaker

Developing Applications with the Robot Operating System (ROS)

Working with Robot and Simulation Applications

Building Worlds with Simulation WorldForge

Running Simulation Jobs

Managing Robots, Fleets, and Deployments

Monitoring and Protecting AWS RoboMaker Services

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 21 [status] => published [changed] => 1700037744 [source_language] => en [weight] => 0 [tags] => pl_3000 [excluded_sites] => ) [buildrobot] => stdClass Object ( [course_code] => buildrobot [hr_nid] => 278908 [title] => Building A Robot from the Ground Up [requirements] => [overview] => In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction

Overview of Commercial Robots

Designing the Arduino Robot

Programming Fundamentals: Loops, Conditionals, Variables, Functions, and Parameters

Assembling the Hardware Components of an Arduino Robot

Programming the Arduino Robot

Testing the Arduino Robot

Troubleshooting

Closing Remarks

[language] => en [duration] => 28 [status] => published [changed] => 1715349940 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [mlrobot1] => stdClass Object ( [course_code] => mlrobot1 [hr_nid] => 97749 [title] => Machine Learning for Robotics [requirements] =>

High School maths, basics knowledge of statistics

[overview] => This course introduces machine learning methods in robotics applications. It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition. After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software. [category_overview] => [outline] => [language] => en [duration] => 21 [status] => published [changed] => 1700037164 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [npl_lbg] => stdClass Object ( [course_code] => npl_lbg [hr_nid] => 281702 [title] => Natural Language Processing (NLP) - AI/Robotics [requirements] =>

Knowledge and awareness of NLP principals and an appreciation of AI application in business

[overview] => This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python [category_overview] => [outline] =>

Detailed training outline

  1. Introduction to NLP
  2. Practical Understanding of a Corpus and Dataset
  3. Understanding the Structure of a Sentences
  4. Text data preprocessing
  5. Analyzing Text data
  6. Document Clustering, Classification and Topic Modeling
  7. Identifying Important Text Elements
  8. Entity Extraction, Sentiment Analysis and Advanced Topic Modeling
  9. Case studies
[language] => en [duration] => 21 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2000 [excluded_sites] => ) [robo_lbg] => stdClass Object ( [course_code] => robo_lbg [hr_nid] => 281706 [title] => Robotics in business - AI/Robotics [requirements] =>

Knowledge and awareness of how Robotics are being deployed in business, Chatbots, RPA, etc

[overview] => This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises. [category_overview] => [outline] =>
  1. Introduction to Robotics process automation
  2. Overview of the RPA tools and Vendors
  3. Robotics Process Automation Jobs
  4. RPA Implementation Plan
  5. Debugging workflow tools and techniques
  6. Deploying RPA in production
  7. RPA best practices
  8. Scaling RPA
  9. Case studies and Use-Cases

 

[language] => en [duration] => 14 [status] => published [changed] => 1700037415 [source_language] => en [weight] => 0 [tags] => uk_premium, ca_high,za_premium,pl_2000 [excluded_sites] => ) [rosindustrial] => stdClass Object ( [course_code] => rosindustrial [hr_nid] => 282734 [title] => ROS-Industrial [requirements] => [overview] => ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics. In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial. By the end of this training, participants will be able to: Audience Format of the course Note [category_overview] => [outline] =>

Introduction to ROS-Industrial (ROS-I)

Overview of ROS-I Features and Architecture

Installing and Configuring ROS-I

Setting Up the ROS-I Development Environment

Overview of Unified Robot Description Formats (URDFs) on ROS-I

Using Interface Libraries (Drivers) on ROS-I

Tracking Coordinate Frames on ROS-I Using TF

Motion Planning on ROS-I

Creating a Simple MoveIt! Application

Setting Up a New Robot with ROS-I

Working with Descartes on ROS-I

Creating a Simple Descartes Application

Working with Perception on ROS-I

Creating a Simple Perception Application

Performing Path Planning on ROS-I

Building a Perception Pipeline on ROS-I

Troubleshooting

Summary and Conclusion

[language] => en [duration] => 14 [status] => published [changed] => 1700037426 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,pl_2000 [excluded_sites] => ) [rov] => [semiconductor] => stdClass Object ( [course_code] => semiconductor [hr_nid] => 441059 [title] => Semiconductor Fundamentals [requirements] =>

Audience

[overview] => Semiconductors are materials that have an electrical conductivity that enables advances in communications, computing, military systems, healthcare, clean energy, transportation, and a lot more innovative applications. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to: [outline] =>

Introduction

Materials Properties and Doping

Rudiments of Quantum Mechanics

Equilibrium Carrier Concentration

Carrier Transport, Generation, and Recombination

The Semiconductor Equations

Summary and Next Steps

[language] => en [duration] => 35 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1001 [tags] => [excluded_sites] => ) [semiconductorphysics] => stdClass Object ( [course_code] => semiconductorphysics [hr_nid] => 441075 [title] => Semiconductor Physics [requirements] =>

Audience

[overview] => A semiconductor is a substance whose resistivity lies between the conductors and insulators. The property of resistivity is not the only one that decides a material as a semiconductor, but it has a few properties as follows. Semiconductors have a resistivity that is less than insulators and more than conductors. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to: [outline] =>

Introduction

Quantum Theory of Semiconductors

Understanding Carrier Statistics

Semiconductor Currents

Understanding Carrier Dynamics

Summary and Next Steps

[language] => en [duration] => 21 [status] => published [changed] => 1700037951 [source_language] => en [weight] => -1002 [tags] => [excluded_sites] => ) [uipathforipa] => stdClass Object ( [course_code] => uipathforipa [hr_nid] => 307306 [title] => UiPath for Intelligent Process Automation (IPA) [requirements] =>

Audience

[overview] => Intelligent Process Automation, or IPA, refers to the use of Artificial Intelligence (AI), robotics and integration with third-party services to extend the power of RPA. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: Format of the Course Course Customization Options [category_overview] => This instructor-led, live training in <loc> (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to: [outline] =>

To request a customized course outline for this training, please contact us.

[language] => en [duration] => 14 [status] => published [changed] => 1700037485 [source_language] => en [weight] => 0 [tags] => ca_high,za_premium,uk_premium,pl_2500 [excluded_sites] => ) ) [1] => term_cat_page_sort_by_weight ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/modules/category/category.php [line] => 16 [function] => term_cat_page_render_course_in_category_v2 [args] => Array ( [0] => 1063 ) ) [4] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 16 [function] => category_menu_callback [args] => Array ( [0] => /robotics-training ) ) [5] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 90 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [6] => Array ( [file] => /apps/hitra7/npfrontend/index.php [line] => 17 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [7] => Array ( [file] => /apps/hitra7/index.php [line] => 58 [args] => Array ( [0] => /apps/hitra7/npfrontend/index.php ) [function] => include_once ) ) Robotics Training Courses - Croatia

Explore Our Courses

ABB IRB 2600ID Robot Operation and Programming

28 Hours

Semiconductor Physics

21 Hours

ROS for Mobile Robots using Python

21 Hours

Semiconductor Fundamentals

35 Hours

Aerial Robotics

21 Hours

Drone Fundamentals

7 Hours

Drones for Agriculture

21 Hours

Drone Programming with ArduPilot

14 Hours

ROS: Programming for Robotics

21 Hours

Developing Intelligent Bots with Azure

14 Hours

Developing a Bot

14 Hours

Artificial Intelligence (AI) for Mechatronics

21 Hours

Smart Robots for Developers

84 Hours

Artificial Intelligence (AI) for Robotics

21 Hours

AI and Robotics for Nuclear - Extended

120 Hours

AI and Robotics for Nuclear

80 Hours

Amazon Web Services (AWS) RoboMaker

21 Hours

Building A Robot from the Ground Up

28 Hours

Machine Learning for Robotics

21 Hours

Natural Language Processing (NLP) - AI/Robotics

21 Hours

Robotics in business - AI/Robotics

14 Hours

ROS-Industrial

14 Hours

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UiPath for Intelligent Process Automation (IPA)

14 Hours

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