A2A Protocol by HeadEasy Labs, Abhi Jain

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 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 LearnUnderstand 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 ForDevelopers & 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.RequirementsBasic programming knowledge (Python preferred).Familiarity with AI/ML concepts helps, but not required.Curiosity about how agents collaborate in real-world systems.Course Content OverviewModule 1: Introduction to A2AWhy Agent-to-Agent communication matters.The fragmentation problem in AI.Module 2: The A2A ProtocolStructure, design, and purpose.Core concepts explained.Module 3: A2A vs MCPAgents talking to tools vs agents talking to agents.How these systems complement each other.Module 4: Agent Cards & SkillsDefining identity & capabilities.Making agents discoverable.Module 5: The Agent ExecutorDriving logic inside an agent.Practical coding walkthrough.Module 6: Running an A2A ServerBringing 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 AgentCombine all learnings into a working agent-to-agent system.ConclusionBy 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.
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
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