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 Duration 18 hours

Course Outline

Introduction

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

Make Fundamentals

  • Scenarios, modules, and triggers
  • Mapping data across various applications
  • Utilizing filters and routers

Integrating Apps and Data

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

Creating Your First AI Agent

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

Agents Linked to Data

  • Retrieving and processing business data
  • Chaining steps and decision points
  • 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

Summary and Next Steps

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

Requirements

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

Audience

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

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