Mastering Agent2Agent Protocol (A2A): A Practical Guide

About this course

Mastering the A2A Protocol (Agent2Agent) is your practical guide to building interoperable, secure, and production-ready AI agents that can discover, talk to, and delegate work to one another.

This course walks you through every step, from your very first simple request-response A2A server to a full multi-agent orchestrator that routes tasks, reads AgentCards, and delegates across specialized agents.

You'll learn how the A2A protocol lets agents built on different frameworks and by different vendors collaborate as peers through messages, tasks, streaming, and secure authentication. A2A is an open standard (originally introduced by Google, now under the Linux Foundation) that complements MCP: where MCP connects an agent to its tools and data, A2A connects agents to other agents. With a strong focus on hands-on development (every concept ships with a working Python client and server), this course prepares you to build agent systems that are ready for real-world use.

Course HighlightsA2A Fundamentals: Understand why agents need a common protocol, what A2A actually is, how it differs from and complements MCP, and the three core architecture layers.

Messages, Tasks & Transport: Build your first A2A server, master bindings and transport discovery, and work through the complete task lifecycle from creation to completion.

Structured Data & File Exchange: Move from plain text to structured Data Parts, handle configuration options, and send files both as raw bytes and via URI references with a dedicated web server.

Long-Running Tasks (Polling & Streaming): Handle long-running work with polling, stream results in real time via SSE, and use resubscribe to reconnect to a task after dropping off.

Push Notifications: Notify clients asynchronously when tasks finish, even after they've disconnected.

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