A2A Protocol Workshop: Build Interoperable Multi-Agent Systems

Why It Matters

A2A promises to simplify coordination among heterogeneous agents and accelerate enterprise deployments by enabling standardized, interoperable workflows and safer tool usage across platforms, cutting weeks of custom integration work. This could speed adoption of agentic AI in production systems and improve cross‑tool automation.

Summary

In a Data Science Dojo webinar, Zaid Ahmed led a workshop on the Agent-to-Agent (A2A) protocol, positioning it alongside Model Context Protocol (MCP) as a solution for building interoperable multi-agent systems. He recapped MCP’s role in wrapping APIs for LLM use, described recurring development challenges—orchestration, robustness, interoperability and safety—and explained how A2A standardizes agent-to-agent interaction and multi-agent orchestration. The session included core A2A concepts, industry use cases and a hands-on exercise to build a multi-agent orchestration. Ahmed emphasized practical toolchains and recent advances that reduce integration time and boilerplate code.

Original Description

The next evolution of AI isn’t just smarter prompts - it’s agents collaborating across boundaries. Discover how the A2A protocol enables durable, reliable, and production-ready multi-agent systems.

🎯 Learn how to:

- Orchestrate multiple specialist agents

- Stream tasks and collect artifacts in real time

- Build resilient workflows with retries, fallbacks, and error recovery

This session is perfect for anyone looking to move beyond single-agent demos and design AI systems that actually work in production.