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 Duration 18 hours

Course Outline

Introduction

  • Transitioning from algorithmic thinking to automation
  • Understanding the role and applicability of no-code automation
  • Introduction to Make and AI agents

Core Concepts of Make

  • Understanding scenarios, modules, and triggers
  • Data mapping techniques between applications
  • Implementing filters and routers

Integrating Applications and Data

  • Leveraging webhooks and immediate triggers
  • Utilizing APIs and HTTP modules
  • Managing data using data stores

Creating Your First AI Agent

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

Agents Integrated with Data

  • Accessing and processing business data
  • Sequencing steps and logic decisions
  • Implementing human-in-the-loop validation points

Comprehensive Automation

  • Automating a practical business process
  • Managing errors and retry mechanisms
  • Overseeing and maintaining scenarios

Conclusion and Future Steps

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

Requirements

  • No coding background necessary
  • Proficiency in using web applications and spreadsheets
  • Familiarity with core business processes

Target Audience

  • Professionals in business and operations
  • Team leads and process owners
  • Non-developers seeking to automate workflows with AI

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