Is the AI Agents Academy completely free?

Yes, 100% free. No sign-up, no credit card. All 13 modules, 58 lessons, 9 terminal labs, and 115 quiz questions are accessible immediately. Your progress saves locally in your browser.

How is Infinity AI Agents Academy different from vendor-locked agent courses?

Unlike single-framework platforms (such as LangChain Academy or CrewAI University) that tie you to a single proprietary ecosystem, Infinity Tech Stack's AI Agents Academy is a 100% free, vendor-neutral engineering curriculum. It teaches the complete production stack across ReAct loops, LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, A2A protocol, and Model Context Protocol (MCP) integration with in-browser terminal labs and zero sign-up required.

What topics does the AI Agents Academy cover?

The course covers agent fundamentals, ReAct loops, Plan-and-Solve, tool use & function calling, MCP integration, Agentic RAG, multi-agent systems (CrewAI, LangGraph), A2A protocol, Google ADK, agent memory, safety & guardrails, red teaming, CI/CD for agents, and production observability.

What is the A2A protocol?

A2A (Agent-to-Agent) is Google's open protocol for enabling interoperability between AI agents. It allows agents from different vendors and frameworks to discover each other, exchange capabilities via Agent Cards, and delegate tasks securely.

Google ADK (Agent Development Kit) is an open-source framework for building, orchestrating, and deploying AI agents. It supports Python, Go, Java, and TypeScript, and integrates with MCP for tools and A2A for agent-to-agent communication.

Do I need any prerequisites?

Basic programming knowledge is helpful but not required. The course starts from absolute fundamentals (what is an agent?) and progressively advances to expert-level topics like multi-agent orchestration and production safety.

Does the AI Agents Academy include hands-on labs?

Yes. Hands-on terminal labs are built into the lessons - build the minimal agent loop, scaffold a CrewAI crew, and launch LangGraph dev using real, vendor-verified commands, with objectives, hints, solutions, and XP rewards. No sign-up or setup needed.

How do MCP and A2A complement each other?

MCP connects agents to tools/data; A2A connects agents to other agents — MCP handles agent-to-tool connections (databases, APIs, files). A2A handles agent-to-agent connections (delegation, negotiation, collaboration). Together they form the complete interoperability stack.

What is the A2A protocol analogous to in web development?

HTTP (services communicating with services) — Just as HTTP standardized how web services communicate, A2A standardizes how AI agents discover, negotiate, and delegate tasks to each other.

The A2A Protocol Tutorial | A2A Protocol & Google ADK

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The A2A Protocol

🌐 A2A Protocol & Google ADK⏱ 12 min⭐ 100 BASE XP⌨ HANDS-ON LAB

Agent-to-Agent Communication

While MCP connects agents to tools and data, the A2A (Agent-to-Agent) protocol connects agents to other agents. Introduced by Google, A2A is an open standard for cross-vendor agent interoperability.

Why A2A?

Imagine a Claude agent that needs to book a flight. There's already a specialized travel agent (built with OpenAI). Without A2A, you'd need to build custom integration code. With A2A, the Claude agent discovers the travel agent, understands its capabilities, and delegates the task - all through a standardized protocol.

MCP vs A2A

Dimension	MCP	A2A
Connects	Agent ↔ Tools/Data	Agent ↔ Agent
Analogy	USB-C (plug in peripherals)	HTTP (services talk to services)
Discovery	.well-known/mcp	.well-known/agent-card.json
Interaction	Request/Response (tool calls)	Peer-to-peer task delegation
Governed by	Linux Foundation	Agentic AI Foundation (AAIF) under the Linux Foundation

💡 Key Insight: MCP and A2A are complementary, not competing. An agent uses MCP to connect to databases and APIs, and A2A to delegate tasks to specialized agents. Together they form the full interoperability stack.

⌨ HANDS-ON LABVerify A2A Protocol Specification Schema

⭐ +150 XP

Inspect the formal A2A Protocol specification ensuring compliance with JSON-RPC 2.0 communication contracts.

1Validate A2A protocol specification compliance.

lab-sandbox — simulated environment

INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$

OBJECTIVE 1 / 1 — type "hint" if stuck

SYNAPSE VERIFICATION

QUERY 1 // 3

What does the A2A protocol enable?

Agents connecting to databases

Agents communicating and delegating tasks to other agents across different vendors

Agents generating images

Agents training themselves