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 Duration 18 hours

Course Outline

Introduction

  • Transitioning from algorithmic thinking to practical automation.
  • Defining no-code automation and identifying appropriate use cases.
  • An overview of Make and the role of AI agents.

Core Concepts of Make

  • Understanding scenarios, modules, and triggers.
  • Data mapping techniques between different applications.
  • Implementing filters and routers for efficient processing.

Application and Data Integration

  • Leveraging webhooks and immediate triggers.
  • Interacting with APIs through HTTP modules.
  • Utilizing data stores for persistent information.

Developing Your First AI Agent

  • Incorporating a Large Language Model (LLM) into a scenario.
  • Crafting prompts to ensure reliable agent responses.
  • Interpreting and utilizing the output from the agent.

Agents Integrated with Data

  • Accessing and processing relevant business data.
  • Sequencing steps and decision-making logic.
  • Including human-in-the-loop verification points.

Comprehensive Automation

  • Automating a genuine business workflow.
  • Managing errors and implementing retry mechanisms.
  • Monitoring scenario performance and ongoing maintenance.

Conclusion and Path Forward

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

Requirements

  • No prior programming knowledge is necessary.
  • Familiarity with navigating web-based applications and spreadsheets.
  • A foundational grasp of one’s own business processes.

Target Audience

  • Professionals in business operations and management.
  • Team leaders and those responsible for process ownership.
  • Non-technical staff aiming to leverage AI for workflow automation.

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