Orchestrating Multi-Agent Workflows with MCP & A2A - MLOps Live #39 with Google Cloud

In this webinar we explored cutting-edge tools enabling scalable AI workflows. Discover how MCP (Model Context Protocol) and A2A (Agent-to-Agent communication layer) empower teams to design, build, and manage multi-agent workflows with precision.

Key Takeaways:

Engineering Multi-Agent Systems: Learn how to operationalize Gen AI ecosystems at scale.
Model Context Protocol (MCP): Dive into modular logic, tracing, and execution control.
Agent-to-Agent (A2A): Discover how agents share context, communicate, and make decisions.
Live Vertex AI Demo: Experience MCP and A2A in action, orchestrating workflows in real-time.