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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
- Familiarising with the visual design interface
Planning Agent-Based Workflows
- Identifying business use cases for agent collaboration
- Aligning user goals with agent interactions
- Designing task flows and triggers
Creating and Configuring Agents
- Assigning agent roles and behaviours
- Crafting effective prompts and objectives
- Utilising predefined versus 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
- Managing missing inputs and fallback strategies
- Logging and reviewing conversation flows
- Refining logic based on agent feedback
No-Code Deployment and Testing
- Executing 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., summarisation, approvals)
- Building product prototypes with AI logic
- Tips for scalable and reusable agent design
Summary and Next Steps
Requirements
- A grasp of AI or automation concepts
- Confidence with visual tools and process modelling
- No prior coding experience is required
Target Audience
- Product managers
- Business analysts
- Innovation teams and non-technical stakeholders
Testimonials (1)
I liked that he constantly provided examples but also offered time for individual work on what he presented.
