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Course Outline

Introduction

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

Fundamentals of Make

  • Scenarios, modules, and triggers
  • Data mapping between applications
  • Filters and routers

Connecting Apps and Data

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

Building Your First AI Agent

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

Agents Connected to Data

  • Retrieving and acting upon business data
  • Chaining steps and decision points
  • Human-in-the-loop checkpoints

End-to-End Automation

  • Automating a real business process
  • 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 prior programming experience is necessary
  • Proficiency in using web applications and spreadsheets
  • A fundamental understanding of your own business processes

Target Audience

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

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