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 Duration 18 hours

Course Outline

Introduction

  • The transition from algorithmic thinking to automation
  • Understanding no-code automation and its optimal use cases
  • A brief overview of Make and AI agents

Make Fundamentals

  • Exploring scenarios, modules, and triggers
  • Data mapping across different applications
  • Implementing filters and routers

Linking Applications and Data

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

Creating Your First AI Agent

  • Incorporating an LLM into a scenario
  • Designing prompts for consistent agent output
  • Processing and utilizing agent responses

Integrating Agents with Data

  • Accessing and acting upon business data
  • Chaining sequential steps and decision points
  • Including human-in-the-loop validation points

Comprehensive Automation

  • Streamlining a real-world business process
  • Managing errors and implementing retries
  • Monitoring and maintaining active scenarios

Conclusion and Future Steps

  • Key deliverable: a functional automated process with an integrated AI agent.

Requirements

  • Programming experience is not a prerequisite
  • Proficiency with web-based applications and spreadsheets
  • A foundational grasp of your internal business processes

Target Audience

  • Business and operations professionals
  • Team leads and process owners
  • Non-technical individuals seeking to automate workflows with AI

Testimonials (3)

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