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 Duration 18 hours

Course Outline

Introduction

  • Transitioning from algorithmic thinking to automation.
  • Defining no-code automation and identifying appropriate use cases.
  • An overview of Make and AI agents.

Make Fundamentals

  • Understanding scenarios, modules, and triggers.
  • Mapping data across different applications.
  • Implementing filters and routers.

App and Data Integration

  • Leveraging webhooks and instant triggers.
  • Interacting with APIs and HTTP modules.
  • Utilizing data stores.

Creating Your First AI Agent

  • Incorporating an LLM into a scenario.
  • Crafting prompts to ensure reliable agent output.
  • Parsing and utilizing the agent's responses.

Agents with Data Connectivity

  • Retrieving and acting upon business data.
  • Chaining logical steps and decisions.
  • Implementing human-in-the-loop checkpoints.

End-to-End Automation

  • Automating a real-world business process.
  • Managing error handling and retries.
  • Monitoring and maintaining scenarios over time.

Summary and Next Steps

  • Deliverable: A fully functional automated process integrated with a connected AI agent.

Requirements

  • No prior programming experience is necessary.
  • Proficiency in navigating web applications and using spreadsheets.
  • A foundational understanding of your own business workflows.

Target Audience

  • Business and operations professionals.
  • Team leaders and process owners.
  • Non-developers aiming to automate workflows using AI.

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