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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 applications.
  • 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 is required.
  • Comfort with 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 using AI.
 18 Hours

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