Is the AI Agents Academy completely free?

Yes, 100% free. No sign-up, no credit card. All 13 modules, 57 lessons, and 110 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.

What is the role of ADK in a multi-protocol system?

It provides the framework to build the central orchestrating agent that uses both MCP and A2A — ADK is the framework that builds the agent itself. The agent then uses MCP for tools/data and A2A for agent-to-agent delegation - ADK orchestrates everything.

What analogy best describes the three-protocol stack?

MCP = hands (tools), A2A = network (colleagues), ADK = skeleton (structure) — MCP gives the agent access to tools (hands), A2A connects it to other agents (professional network), and ADK provides the framework to build and orchestrate (skeleton).

Building Multi-Protocol Systems Tutorial | A2A Protocol & Google ADK

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Building Multi-Protocol Systems

🌐 A2A Protocol & Google ADK⏱ 12 min⭐ 120 BASE XP

MCP + A2A + ADK: The Full Stack

Production agent systems in 2026 use multiple protocols together. Here's how they fit:

The Three-Protocol Architecture

┌─────────────────────────────────────────────────┐
│              YOUR AGENT (built with ADK)         │
│                                                  │
│  ┌────────────────┐     ┌─────────────────────┐ │
│  │  MCP Clients   │     │   A2A Client         │ │
│  │  (Tools/Data)  │     │   (Agent Delegation) │ │
│  └───────┬────────┘     └──────────┬──────────┘ │
└──────────┼─────────────────────────┼────────────┘
           │                         │
    ┌──────▼──────┐          ┌──────▼──────────┐
    │ MCP Servers │          │ Remote A2A      │
    │ • Database  │          │ Agents          │
    │ • GitHub    │          │ • Travel Agent  │
    │ • Slack     │          │ • Legal Agent   │
    │ • Files     │          │ • Finance Agent │
    └─────────────┘          └─────────────────┘

When to Use Which

Need	Protocol	Example
Read a database	MCP	Query customer records via MCP server
Call an API	MCP	Send a Slack message via MCP tool
Delegate a complex task	A2A	Ask a travel agent to book a trip
Get a second opinion	A2A	Ask a legal agent to review a contract
Orchestrate everything	ADK	Build the central agent with sub-agents

Production Implementation

from google.adk import Agent, MCPTool, A2AClient

# MCP tools for direct data access
db_tool = MCPTool(server="postgres-mcp", tool="query_customers")
slack_tool = MCPTool(server="slack-mcp", tool="send_message")

# A2A clients for agent delegation
travel_agent = A2AClient("https://travel.example.com")
legal_agent = A2AClient("https://legal.example.com")

# Build the orchestrator
orchestrator = Agent(
    name="executive_assistant",
    model="gemini-3.1-pro",
    tools=[db_tool, slack_tool],
    a2a_agents=[travel_agent, legal_agent],
    instruction="""You are an executive assistant. 
    Use MCP tools for data access (database, Slack).
    Delegate to the travel agent for booking tasks.
    Delegate to the legal agent for contract review."""
)

Integration Checklist

☐ Publish your Agent Card at /.well-known/agent-card.json
☐ Register MCP servers for all data/tool access
☐ Discover and validate remote A2A agents before production
☐ Implement BLOCKED state handling for A2A tasks
☐ Set up OpenTelemetry for cross-protocol observability
☐ Rate-limit A2A calls to prevent cascade failures
☐ Authenticate all inter-agent communication (OAuth 2.0)

🌐 The Big Picture: MCP is the agent's hands (tools). A2A is the agent's network (colleagues). ADK is the agent's skeleton (structure). Together, they create agents that can do anything a human knowledge worker can do.

SYNAPSE VERIFICATION

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When should you use A2A instead of MCP?

For reading files

When you need to delegate a complex task to a specialized agent, not just call a tool

For database queries

For authentication