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Course Outline

Introduction

  • Moving from algorithmic thinking to automation
  • Understanding no-code automation and its appropriate use cases
  • Overview of Make and AI agents

Core Concepts of Make

  • Scenarios, modules, and triggers
  • Data mapping between applications
  • Filters and routers

Integrating Apps and Data

  • Webhooks and instant triggers
  • Working with APIs and HTTP modules
  • Utilizing data stores

Developing Your First AI Agent

  • Incorporating an LLM into a scenario
  • Crafting prompts for consistent agent output
  • Interpreting and utilizing the agent's response

Linking Agents to Data

  • Fetching and acting upon business data
  • Chaining steps and decision nodes
  • Incorporating human-in-the-loop verification points

End-to-End Automation

  • Automating a practical business process
  • Error handling and retry mechanisms
  • Oversight and maintenance of scenarios

Summary and Future Steps

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

Requirements

  • Programming experience is not necessary
  • Familiarity with web applications and spreadsheet tools
  • Foundational knowledge of your own business processes

Target Audience

  • Professionals in business and operations
  • Team leaders and process owners
  • Non-technical staff seeking to automate workflows using AI
 18 Hours

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