Class 33: Multi-Agent Systems and Collaboration
Summary: Advanced architectures where multiple AI agents coordinate to solve complex problems.
Learning Objectives:
- Design multi-agent system architectures
- Implement agent communication protocols
- Coordinate agents for complex workflows
Key Topics:
- Multi-agent collaboration patterns and frameworks
- Agent communication and coordination mechanisms
- Memory sharing and state synchronization
- Specialized agent roles and task distribution
Activities:
- Multi-agent system design project
- Agent coordination implementation
- Complex workflow automation using agent teams