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Course Outline

Introduction

  • From algorithmic thinking to automation
  • What no-code automation is and when to use it
  • Overview of Make and AI agents

Fundamentals of Make

  • Scenarios, modules, and triggers
  • Mapping data between apps
  • Filters and routers

Connecting Apps and Data

  • Webhooks and instant triggers
  • Working with APIs and HTTP modules
  • Using data stores

Building Your First AI Agent

  • Adding an LLM into a scenario
  • Prompting the agent for reliable output
  • Parsing and using the agent's response

Agents Connected to Data

  • Retrieving and acting on business data
  • Chaining steps and decisions
  • Human-in-the-loop checkpoints

End-to-End Automation

  • Automating a real business process
  • Error handling and retries
  • Monitoring and maintaining scenarios

Summary and Next Steps

  • Deliverable: a working automated process with a connected AI agent.

Requirements

  • No programming experience required
  • Comfort using web applications and spreadsheets
  • A basic understanding of your own business processes

Audience

  • Business and operations professionals
  • Team leads and process owners
  • Non-developers who want to automate workflows with AI
 18 Hours

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