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.

Creating Multi-Agent Designs

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

Multi-Agent Architecture with Python

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

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.