Building effective multi-agent AI systems requires an eval-driven development process and an end-to-end stack from infrastructure and frameworks to protocols and evaluation tools. Google Cloud and Weights & Biases have partnered to offer a cohesive stack that makes architecting multi-agent systems easier. In this webinar, we’ll show you how to use it to build your first real-world agentic AI application.
What to expect
A clear overview of agentic AI and the rise of multi-agent systems
A candid look at key barriers preventing widespread adoption and why they persist
A practical demo of how an eval-driven workflow and tools help overcome these barriers
What you'll learn
Core concepts of architecting multi-agent systems and the real-world challenges in building them
How Google Cloud and Weights & Biases provide an end-to-end, eval-driven development stack
How to use this stack to design, evaluate, and ship production-ready agentic AI applications