Merci d'avoir envoyé votre demande ! Un membre de notre équipe vous contactera sous peu.
Merci d'avoir envoyé votre réservation ! Un membre de notre équipe vous contactera sous peu.
Plan du cours
Introduction to LLM Agents and AutoGen Studio
- What are multi-agent systems?
- Overview of AutoGen and AutoGen Studio
- Understanding the visual design interface
Planning Agent-Based Workflows
- Identifying business use cases for agent collaboration
- Mapping user goals to agent interactions
- Designing task flows and triggers
Creating and Configuring Agents
- Assigning agent roles and behaviors
- Writing effective prompts and goals
- Using predefined vs. custom agent templates
Managing Multi-Agent Communication
- Designing message passing and coordination
- Controlling agent turn-taking and logic paths
- Creating agent groups and dependencies
Error Handling and Response Management
- Handling missing inputs and fallbacks
- Logging and reviewing conversation flows
- Refining logic based on agent feedback
No-Code Deployment and Testing
- Running workflows in AutoGen Studio
- Debugging using visual execution history
- Adjusting workflows based on test results
Real-World Use Cases and Best Practices
- Internal workflow automation (e.g., summarization, approvals)
- Building product prototypes with AI logic
- Tips for scalable and reusable agent design
Summary and Next Steps
Pré requis
- An understanding of AI or automation concepts
- Comfort with visual tools and process modeling
- No prior coding experience required
Audience
- Product managers
- Business analysts
- Innovation teams and non-coders
14 Heures
Nos clients témoignent (1)
Formateur répondant aux questions au fur et à mesure.
Adrian
Formation - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
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