Agents Academy
Master the art of Autonomous Systems Engineering. Overhaul complex workflows using LangGraph swarms and Vector Data patterns.
The AI Agents Academy is a free 13-module, 58-lesson masterclass with 58 terminal labs and 115 quizzes on engineering autonomous AI agent systems. It covers LangGraph v1.x, OpenAI Agents SDK, Claude Agent SDK, Microsoft Agent Framework (AutoGen + Semantic Kernel), CrewAI Flows, Google ADK, A2A & MCP protocols, memory systems, human-in-the-loop validation, and production agent monitoring.
What is AI Agents Academy?
AI Agents Academy is a 100% free, vendor-neutral engineering curriculum by Infinity Tech Stack for building autonomous multi-agent AI systems. Spanning 13 modules, 58 lessons, 58 in-browser CLI labs, and 115 quizzes, it teaches ReAct reasoning loops, LangGraph v1.x state machines, OpenAI Agents SDK, Anthropic Claude Agent SDK, Microsoft Agent Framework, CrewAI Flows, Google ADK, Agent-to-Agent (A2A) interoperability, and Model Context Protocol (MCP) tool orchestration with zero sign-up required.
AI Agents Technical Training Modules
What Are AI Agents?
The Agentic Control Loop
Tool Use & Function Calling
Agentic RAG
Multi-Agent Systems
Agent Memory
Safety & Guardrails
Evaluation & Production
Prompt Engineering for Agents
Build Your First Agent
Real-World Case Studies
A2A Protocol & Google ADK
2026 Production Infrastructure
Frequently Asked Questions
Is the AI Agents Academy completely free?
Yes, 100% free. No sign-up, no credit card. All 13 modules, 58 lessons, 58 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 v1.x, CrewAI Flows, Google ADK, OpenAI Agents SDK, Anthropic Claude Agent SDK, Microsoft Agent Framework, 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 (LangGraph v1.x, CrewAI Flows, OpenAI Agents SDK, Claude Agent SDK, Microsoft Agent Framework), 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 an open protocol (originated by Google and governed by the Agentic AI Foundation under the Linux Foundation) for enabling interoperability between AI agents. It allows agents from different vendors and frameworks to discover each other via /.well-known/agent-card.json manifests, exchange capabilities, and delegate tasks securely over JSON-RPC 2.0 and SSE.
What is Google ADK?
Google ADK (Agent Development Kit) is an open-source framework for building, orchestrating, and deploying AI agents. ADK 2.x supports Python, TypeScript, Go, Java, and Kotlin, and integrates natively 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.