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Course Outline

Introduction

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

Core Concepts of Make

  • Scenarios, modules, and triggers.
  • Data mapping between applications.
  • Utilizing filters and routers.

Integrating Apps and Data

  • Webhooks and instant triggers.
  • Interfacing with APIs and HTTP modules.
  • Leveraging data stores.

Creating Your First AI Agent

  • Incorporating an LLM into a scenario.
  • Prompting the agent for consistent output.
  • Processing and utilizing the agent's responses.

Agents Interfacing with Data

  • Accessing and acting upon business data.
  • Sequencing steps and decisions.
  • Implementing human-in-the-loop checkpoints.

Complete Automation

  • Automating a real business process.
  • Managing error handling and retries.
  • Monitoring and maintaining scenarios.

Conclusion and Future Steps

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

Requirements

  • No prior programming experience is necessary.
  • Proficiency with web applications and spreadsheets is expected.
  • A foundational understanding of your own business processes is required.

Target Audience

  • Business and operations specialists.
  • Team leaders and process owners.
  • Non-technical professionals aiming to leverage AI for workflow automation.
 18 Hours

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