Multi-agent systems represent the cutting edge of dynamic and scalable applications, enabling autonomous collaboration between specialized agents to solve complex problems. In this hands-on workshop, you’ll learn how to harness the power of LangGraph in Python to create a robust, AI-driven system. This workshop is designed to guide developers through every step of building durable multi-agent applications, including: • Understanding Multi-Agent Architectures: Explore the core principles of multi-agent systems, their benefits, and how they can simulate human-like collaboration. • Agent Specialization and Orchestration: Learn how to define agent roles and tasks to enable seamless collaboration. • Knowledge and Memory: Implement long-term memory using Azure Cosmos DB with vector search and agent state persistence to ensure durability and context-awareness in agent interactions. • Monitor: Learn how to measure and evaluate multi-agent applications to ensure correctness and efficiency. By the end of the workshop, participants will have built a fully functional, multi-agent application, equipped with intelligent, task-oriented agents capable of collaborating autonomously. Regardless of your current skills with agents, this workshop will take your AI development skills to the next level. There are pre-requisites for this workshop. Please see, https://aka.ms/agent-workshop-python-prereqs for more details.