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Offered By: IBMSkillsNetwork

Coordinating Intelligence: Architecting Multi-Agent Systems

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.

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Guided Project

Artificial Intelligence

Coming soon

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.

Estimated Effort

90 Minutes

Level

Intermediate

Skills You Will Learn

Agentic AI, Generative AI, LangChain, LangGraph

Language

English

Course Code

GPXX0G1VEN

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