Multi-Agent Systems

Learn the core concepts of multi-agent systems and their real-world parallels.

Explain the core components of multi-agent systems and how to design their high-level architecture.

Explain the core components of multi-agent systems and how to design their high-level architecture.

Develop a multi-agent system by coding the designed architecture and connecting agents with well-defined interfaces.

Develop a multi-agent system by coding the designed architecture and connecting agents with well-defined interfaces.

Apply orchestration techniques to coordinate multiple agent actions and achieve complex workflows.

Apply orchestration patterns (sequential parallel conditional) to build a multi-agent system that handles complex workflows with multiple steps and decision points.

Configure routing mechanisms to manage data flow among agents in multi-agent systems.

Implement a routing agent that can intelligently direct user requests to specialized agents based on the content and urgency of the request.

Evaluate methods for tracking and updating agent state across multi-turn interactions.

Evaluate methods for tracking and updating agent state across multi-turn interactions.

Develop a coordinated multi-agent system that synchronizes states for coherent task execution.

Implement a multi-agent system that manages concurrent access to shared resources using state coordination techniques to detect and resolve conflicts.

Extend RAG to multiple cooperating agents, each specialized in certain retrieval tasks.

Build a multi-agent RAG system with specialized retrieval agents and a synthesis agent to combine information from multiple sources and make a complex judgment.

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