Building Multi-Agent Systems
Learn to design and implement systems where multiple AI agents collaborate to solve complex problems. Master agent communication, coordination, and task delegation.
Prerequisites
- Completion of AI Agent Fundamentals or equivalent experience
- Strong Python programming skills
- Understanding of async/concurrent programming
Who Should Attend
- AI/ML Engineers
- Software Developers building AI products
- Technical Leads evaluating agent frameworks
- Mid-level engineers expanding their skill set
Course Outline
- 1Multi-agent system architectures and design patterns
- 2Agent communication protocols and message passing
- 3Task decomposition and delegation strategies
- 4Supervisor agents and hierarchical agent structures
- 5Collaborative problem-solving with agent teams
- 6Conflict resolution and consensus mechanisms
- 7Debugging and monitoring multi-agent systems
- 8Hands-on lab: Build a collaborative content creation system
Learning Outcomes
- Design multi-agent architectures for complex workflows
- Implement agent-to-agent communication protocols
- Build supervisor agents that coordinate worker agents
- Handle conflicts and maintain consistency across agents
- Debug and trace issues in multi-agent systems
- Deploy multi-agent solutions for real-world applications
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Ready to Get Started?
Contact us to schedule training for your team or inquire about upcoming sessions.