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
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 where A2A (Agent-to-Agent Protocol) comes in.
This course is your complete introduction to A2A — a standardized protocol that 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 also build, run, and interact with your own A2A-enabled agents.
What You’ll Learn
Understand the fundamentals of the Agent-to-Agent (A2A) Protocol.
Learn how Agent Cards & Skills define agent identity and capabilities.
Explore how A2A connects with MCP (Agents Tools vs Agents Agents).
Build your own Agent Executor — the brain that powers agent logic.
Start and run an A2A Server to bring agents to life.
Interact with agents using the A2AClient (streaming & non-streaming requests).
Master both the theoretical foundations and hands-on coding practices of agent collaboration.
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.
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 to design, deploy, and interact with agents that can truly collaborate — unlocking the next step in the AI ecosystem.
