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 Duration 18 hours

Course Outline

Introduction

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

Make Fundamentals

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

App and Data Integration

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

Creating Your First AI Agent

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

Agents Linked to Data

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

Comprehensive Automation

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

Wrap-up and Future Directions

  • Outcome: A functional automated process featuring a connected AI agent.

Requirements

  • No programming background needed
  • Proficiency in using web applications and spreadsheets
  • A fundamental grasp of your own business processes

Target Audience

  • Business and operations professionals
  • Team leaders and process owners
  • Non-developers interested in automating workflows with AI

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