#MLOPSLIVE WEBINAR SERIES
Session #39
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.
Hearn from industry experts from Iguazio and Google Cloud 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.