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 Duration 14 hours

Course Outline

Introduction to LLM Agents and AutoGen Studio

  • Understanding multi-agent systems
  • Overview of AutoGen and AutoGen Studio
  • Familiarizing yourself with the visual design interface

Planning Agent-Based Workflows

  • Identifying business scenarios for agent collaboration
  • Aligning user objectives with agent interactions
  • Designing task flows and triggers

Building and Configuring Agents

  • Defining agent roles and behaviors
  • Crafting effective prompts and goals
  • Utilizing predefined versus custom agent templates

Managing Multi-Agent Communication

  • Structuring message passing and coordination
  • Controlling agent turn-taking and logical pathways
  • Establishing agent groups and dependencies

Error Handling and Response Management

  • Addressing missing inputs and fallbacks
  • Logging and reviewing conversation flows
  • Refining logic based on agent feedback

No-Code Deployment and Testing

  • Executing workflows within AutoGen Studio
  • Debugging via visual execution history
  • Optimizing workflows based on test outcomes

Real-World Applications and Best Practices

  • Automating internal workflows (e.g., summarization, approvals)
  • Developing product prototypes with AI logic
  • Strategies for scalable and reusable agent design

Recap and Future Steps

Requirements

  • A basic grasp of AI or automation concepts
  • Familiarity with visual tools and process modeling
  • No prior coding experience needed

Intended Audience

  • Product managers
  • Business analysts
  • Innovation teams and non-developers

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