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 Duration 18 hours

Course Outline

Introduction

  • From algorithmic thinking to automation
  • Understanding no-code automation and its use cases
  • Overview of Make and AI agents

Fundamentals of Make

  • Scenarios, modules, and triggers
  • Mapping data between applications
  • Using filters and routers

Connecting Apps and Data

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

Building Your First AI Agent

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

Agents Connected to Data

  • Retrieving and acting on business data
  • Chaining steps and decision points
  • Implementing human-in-the-loop checkpoints

End-to-End Automation

  • Automating real business processes
  • Error handling and retry mechanisms
  • Monitoring and maintaining scenarios

Summary and Next Steps

  • Deliverable: A functional automated process integrated with an AI agent.

Requirements

  • No programming experience is required
  • Proficiency with web applications and spreadsheets
  • A fundamental understanding of your specific business processes

Target Audience

  • Business and operations professionals
  • Team leads and process owners
  • Non-developers seeking to automate workflows using AI

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