At a Glance

Ready to create AI that doesn't just think—but collaborates? This hands-on workshop dives into multi-agent systems where autonomous agents team up, share intel, and coordinate like a well-oiled machine. We'll cover frameworks like LangGraph and LangChain, agentic design patterns, and strategies that make agents robust enough for the real world. Note: This is a 90-minute, bring-your-own-device (BYOD) workshop.

Why Multi-Agent Systems Matter

Ready to create AI that doesn't just think—but collaborates? Multi-agent systems are revolutionizing how we build intelligent applications by enabling autonomous agents to work together, share knowledge, and tackle complex real-world problems. This hands-on workshop will transform you from someone who knows about AI into someone who can architect intelligent, collaborative systems, with a special focus on the orchestrator—the master coordinator that manages agent interactions and workflows.

A Look at the Project Ahead

By completing this workshop, you'll be able to:

Build multi-agent systems using LangChain and LangGraph frameworks
Design and implement orchestrator patterns to coordinate multiple agents effectively
Implement Agentic design patterns for robust, scalable AI systems
Understand when to use agents vs. traditional LLMs and make informed architectural decisions
Create orchestration workflows that manage complex agent interactions and task distribution
Deploy collaborative AI systems that can handle real-world complexity

What You'll Need

Bring your own device (laptop recommended)
Basic Python programming knowledge
Familiarity with AI/ML concepts (helpful but not required)
Current version of Chrome, Edge, Firefox, or Safari
Enthusiasm for building intelligent systems that actually work together!

Note: The IBM Skills Network Labs environment comes pre-configured with the necessary tools and frameworks, so you can focus on learning rather than setup.

Offered By: IBMSkillsNetwork

Coordinating Intelligence: Architecting Multi-Agent Systems

At a Glance