Multi-Agent Systems

Overview

Move beyond single chatbots and learn to build coordinated teams of AI agents. This course takes you through the entire process of creating multi-agent systems, from architectural design to implementation in Python.

You will master how to orchestrate complex workflows, manage data flow and state, and use advanced techniques like multi-agent RAG. Through hands-on exercises and a final project building an automated sales system, you will gain the skills to develop powerful, practical agentic AI solutions.

Syllabus

• Introduction to Multi-Agent Systems
Learn the core concepts of multi-agent systems and their real-world parallels.
• Designing Multi-Agent Architecture
Explain the core components of multi-agent systems and how to design their high-level architecture.
• Implementing Multi-Agent Architecture with Python
Develop a multi-agent system by coding the designed architecture and connecting agents with well-defined interfaces.
• Orchestrating Agent Activities
Apply orchestration techniques to coordinate multiple agent actions and achieve complex workflows.
• Implementing Agent Orchestration
Apply orchestration patterns (sequential parallel conditional) to build a multi-agent system that handles complex workflows with multiple steps and decision points.
• Routing and Data Flow in Agentic Systems
Configure routing mechanisms to manage data flow among agents in multi-agent systems.
• Implementing Routing and Data Flow in Agentic Systems
Implement a routing agent that can intelligently direct user requests to specialized agents based on the content and urgency of the request.
• State Management in Multi-Agent Systems
Evaluate methods for tracking and updating agent state across multi-turn interactions.
• Implementing State Management in Multi-Agent Systems
Evaluate methods for tracking and updating agent state across multi-turn interactions.
• Multi-Agent Orchestration and State Coordination
Develop a coordinated multi-agent system that synchronizes states for coherent task execution.
• Implementing Multi-Agent Orchestration and State Coordination
Implement a multi-agent system that manages concurrent access to shared resources using state coordination techniques to detect and resolve conflicts.
• Multi-Agent Retrieval Augmented Generation
Extend RAG to multiple cooperating agents, each specialized in certain retrieval tasks.
• Implementing Multi-Agent Retrieval Augmented Generation
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.
• Course Review
Course review
• The Beaver's Choice Paper Company Sales Team
Design and build a complete multi-agent system for a real-world business scenario incorporating architecture orchestration state management and routing.

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Taught by

Joshua Bernhard and Christopher Agostino

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Subjects

Computer Science