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Course Outline

Introduction

  • Transitioning from algorithmic thinking to automation.
  • Understanding no-code automation and its ideal 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.
  • Utilizing data stores.

Building Your First AI Agent

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

Agents Connected to Data

  • Retrieving and acting on business data.
  • Chaining steps and making decisions.
  • Implementing 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 connected to an AI agent.

Requirements

  • No prior programming experience is required.
  • Familiarity with web applications and spreadsheets.
  • A basic understanding of your own business processes.

Audience

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

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