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The MLOps Live Webinar Series

Session #39

Watch On Demand

On Demand

Orchestrating Multi-Agent Workflows with MCP & A2A: The Future of Scalable AI Systems

As Gen AI evolves from single-model applications to complex multi-agent systems, the need for effective coordination, observability, and scalability has never been greater. This paradigm shift introduces new engineering challenges—context-passing, modular logic, and seamless agent communication.
 
Join industry experts as they explore 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. 
Presented By
Moe Abdula

VP Customer Engineering, Google Cloud APAC

Yaron Haviv

Co-Founder & CTO, Iguazio (acquired by McKinsey)