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Course Outline
Day 1:
10:00 - 10:30: Introduction to QA Test Automation
● Overview of QA automation and its significance in software development.
● Introduction to Cypress: features, pros, and cons.
● Discussion on the relevance of AI in modern QA practices.
10:30 - 12:30: Fundamentals of Cypress/Selenium
● Setting up the Cypress environment.
● Writing basic automation scripts for web applications.
● Executing test cases and analysing results.
12:30 - 13:30: Lunch Break
13:30 - 15:30: Advanced Automation Techniques
● Implementing page object model (POM) for better maintenance.
● Fighting test flakiness: usage of intercept and wait for API calls
● API Testing
● Test data and fixtures
15:30 - 16:00: Break
16:00 - 17:00: Introduction to AI Integration in Testing
● Understanding the role of AI in test automation.
● Overview of ChatGPT and its capabilities in QA.
● Discussing potential applications of AI in writing test scripts and defining test
scenarios.
17:00 - 17:30: Practical Exercise
● Participants work on a hands-on exercise integrating ChatGPT with Cypress to generate test scripts based on given scenarios.
● Discussion and Q&A session, wrap up for the day
Day 2:
10:00 - 10:30: Recap of Day 1
● Review of key concepts covered on Day 1.
● Addressing any queries or concerns from participants.
10:30 - 12:30: Implementing AI in Test Automation
● Practical demonstration of using ChatGPT to assist in writing automation code.
● Exploring how AI can aid in identifying test scenarios and generating test data.
● Integrating AI-powered tools with Cypress frameworks.
12:30 - 13:30: Lunch Break
13:30 - 15:30: Enhancing Test Coverage with AI
● Leveraging AI algorithms for intelligent test case prioritisation.
● AI and exploratory testing
● Automating visual testing using AI-powered tools.
15:30 - 16:00: Break
16:00 - 17:00: Case Studies and Best Practices
● Presenting real-world case studies showcasing the effectiveness of AI in QA.
● Sharing best practices for integrating AI into existing testing workflows.
● Addressing challenges and limitations of AI in test automation.
17:00 - 17:30: Conclusion
● Final discussion: will AI take my job?
● Closing remarks, feedback collection, final wrap up
Requirements
- Basic understanding of software testing concepts.
- Familiarity with at least one programming language (ideally Java, JavaScript or Typescript, at least foundation of a programming language).
- Basic knowledge of git
- Stable internet connection, quiet environment to focus
14 Hours
Testimonials (5)
Good rapport, Łukasz had time for everyone's questions and was able to help anyone who had any issue
Kelly Morris - Titian Software Poland Sp. z o.o.
Course - Selenium WebDriver in C#
I enjoyed everything as it is all new for me and I can see the added value it can ring to my work.
Zareef - BMW South Africa
Course - Tosca: Model-Based Testing for Complex Systems
The trainer explained every functionality thoroughly.
Argean Quilaquil - DXC
Course - TestComplete
Trainer is nice. His explanation is clear and interesting. He try to make the lessons interesting as possible. I enjoyed the lesson and gained a lot of knowledge. Thank you so much. The most useful technique I learned is the locating elements for different web component like textbox, radio buttons and buttons. Sometimes, the element ID is not capture correctly. We learned a different way of locating elements by using CSS selectors, XPath, Name and ID. I like the explanation. Thanks
Bee Chin Chuah - I-Access Solutions Pte Ltd
Course - Advanced Selenium with C#
I liked how the examples lead to the next. You are able to use what you learnt in the previous segment in the next.
