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 Duration 18 hours

Course Outline

Introduction

  • Transitioning from algorithmic thinking to automation
  • Understanding no-code automation and its applicable scenarios
  • An overview of Make and AI agents

Make Fundamentals

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

Integrating Apps and Data

  • 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
  • Prompting the agent to ensure consistent and reliable outputs
  • Parsing and utilizing the agent's responses

Agents Integrated with Data

  • Accessing and acting upon business data
  • Sequencing steps and decision-making
  • Including human-in-the-loop checkpoints

End-to-End Automation

  • Automating a genuine business process
  • Managing errors and implementing retries
  • Monitoring and maintaining scenarios

Conclusion and Future Steps

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

Requirements

  • Programming knowledge is not necessary
  • Proficiency in navigating web applications and spreadsheets
  • A foundational grasp of your specific business processes

Target Audience

  • Professionals in business and operations
  • Team leaders and process owners
  • Non-developers interested in leveraging AI for workflow automation

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