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 Duration 14 hours

Course Outline

Introduction to LLM Agents and AutoGen Studio

  • Defining multi-agent systems
  • Overview of AutoGen and AutoGen Studio
  • Exploring the visual design interface

Planning Agent-Based Workflows

  • Identifying business use cases for agent collaboration
  • Aligning user goals with agent interactions
  • Structuring task flows and triggers

Creating and Configuring Agents

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

Managing Multi-Agent Communication

  • Designing message passing and coordination mechanisms
  • Controlling agent turn-taking and logic pathways
  • Establishing agent groups and dependencies

Error Handling and Response Management

  • Managing missing inputs and implementing fallbacks
  • Logging and reviewing conversation histories
  • Refining logic based on agent feedback

No-Code Deployment and Testing

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

Real-World Use Cases and Best Practices

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

Summary and Next Steps

Requirements

  • A basic understanding of AI or automation concepts
  • Familiarity with visual tools and process modeling
  • No prior coding experience is necessary

Target Audience

  • Product managers
  • Business analysts
  • Innovation teams and non-technical staff

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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