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 Duration 18 hours

Course Outline

Introduction

  • Transitioning from algorithmic logic to automated execution
  • Defining no-code automation and identifying optimal use cases for government
  • Overview of Make platform and AI agent capabilities

Core Principles of Make

  • Understanding scenarios, modules, and trigger mechanisms
  • Data mapping strategies between integrated applications
  • Implementation of filters and routing logic

Integration of Applications and Data

  • Configuration of webhooks and real-time triggers
  • Utilizing APIs and HTTP modules for data exchange
  • Management of persistent data stores

Development of Initial AI Agents

  • Incorporating Large Language Models (LLMs) into scenarios
  • Crafting prompts to ensure consistent and reliable outputs
  • Parsing and leveraging agent-generated responses

Agents Integrated with Data Sources

  • Retrieval and action based on organizational business data
  • Orchestration of sequential steps and decision logic
  • Integration of human-in-the-loop verification checkpoints

Complete Workflow Automation

  • Automating substantive business processes for government
  • Implementation of error handling and retry mechanisms
  • Ongoing monitoring and maintenance of active scenarios

Conclusion and Recommended Actions

  • Outcome: A functional automated process incorporating a connected AI agent.

Requirements

  • No prior programming experience is required
  • Proficiency in using web applications and spreadsheets
  • Fundamental understanding of existing business processes

Target Audience

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

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