A2A Protocol

Master A2A: Build AI agents that communicate and collaborate.

What you'll learn
- Understand the A2A Protocol — explain its structure, purpose, and role in enabling agent-to-agent communication.
- Design and configure agents using Agent Cards & Skills to define identity, capabilities, and discoverability.
- Develop and deploy A2A-enabled systems by building an Agent Executor, running an A2A Server, and connecting agents via the A2AClient.
- Apply hands-on skills to build, test, and interact with your own interoperable agents through a complete final project

Requirements
- Basic programming knowledge (Python preferred)

Description
In the world of AI, one thing is clear: the future won’t be powered by a single agent. It will be powered by many agents working together — reasoning, delegating, and collaborating. But here’s the catch: without a shared language, agents can’t truly communicate.

That’s whereA2A (Agent-to-Agent Protocol)comes in.

This course is your complete introduction to A2A — astandardized protocolthat allows agents to share information, delegate tasks, and collaborate seamlessly, regardless of who built them or what tools they use.

Think of A2A as the“Internet Protocol” for AI agents— a foundation that makes interoperability possible. If you want to understand the future of AI systems and learn how to actually build agents that talk to each other, this course is for you.

By the end of this course, you’ll not only understand the design principles behind A2A, but alsobuild, run, and interact with your own A2A-enabled agents.

What You’ll Learn

Understand the fundamentals of theAgent-to-Agent (A2A) Protocol.

Learn howAgent Cards & Skillsdefine agent identity and capabilities.

Explore how A2A connects withMCP(Agents  <-> Tools vs Agents <-> Agents).

Build your ownAgent Executor— the brain that powers agent logic.

Start and run anA2A Serverto bring agents to life.

Interact with agents using theA2AClient(streaming & non-streaming requests).

Master both the theoretical foundations and hands-on coding practices of agent collaboration.

Who This Course Is For

Developers & AI enthusiastswho want to build interoperable agents.

Researcherscurious about multi-agent communication standards.

Tech professionalsexploring AI protocols and infrastructure.

Anyone interested in thenext frontier of AI collaboration.

Requirements

Basic programming knowledge (Python preferred).

Familiarity with AI/ML concepts helps, but not required.

Curiosity about how agents collaborate in real-world systems.

Course Content Overview

Module 1: Introduction to A2A

Why Agent-to-Agent communication matters.

The fragmentation problem in AI.

Module 2: The A2A Protocol

Structure, design, and purpose.

Core concepts explained.

Module 3: A2A vs MCP

Agents talking to tools vs agents talking to agents.

How these systems complement each other.

Module 4: Agent Cards & Skills

Defining identity & capabilities.

Making agents discoverable.

Module 5: The Agent Executor

Driving logic inside an agent.

Practical coding walkthrough.

Module 6: Running an A2A Server

Bringing your agent online.

Live demo.

Module 7: Interacting with Agents (A2AClient)

Streaming & non-streaming requests.

Building real communication pipelines.

Final Project: Build Your Own A2A-Enabled Agent

Combine all learnings into a working agent-to-agent system.

Conclusion

By the end of this course, you’ll have the knowledge and hands-on experience todesign, deploy, and interact with agents that can truly collaborate— unlocking the next step in the AI ecosystem.

Who this course is for:
- Developers & AI enthusiasts who want to build interoperable agents
- Researchers curious about multi-agent communication standards
- Tech professionals exploring AI protocols and infrastructure
- Anyone interested in the next frontier of AI collaboration
More Info