LangGraph Masterclass 2026: OpenAI Agents, Chains, MCP, A2A

About this course

[This course contains the use of artificial intelligence.]This course gives you everything you need to truly understand AI Agents / Agentic AI, starting from zero.

No prior AI experience required. No machine learning background needed. Just curiosity and basic Python. We start by answering the question everyone has but rarely gets a straight answer to: what is an AI agent, really? From there, you build one piece at a time — adding tools, reasoning loops, memory, and multi-agent coordination across 15 structured sections.

Every section follows the same pattern: a visual lecture that explains the concept in plain English, then a hands-on Python notebook where you build it yourself using real data. You'll work with the same dataset throughout the entire course, so you always understand what the agent is doing and why.

Here's what you'll cover:

• ReAct agents that reason through problems and call tools automatically
• Multi-agent systems where specialized agents collaborate and delegate tasks
• MCP (Model Context Protocol) — the new universal standard for connecting agents to tools
• A2A (Agent-to-Agent) — how agents discover and talk to each other across services
• Memory and RAG so agents can search documents and remember past conversations
• Guardrails, evaluation, and observability for safe, debuggable agents
• FastAPI deployment so your agent becomes a real API Whether you're a student, a developer, or just someone who wants to deeply understand how AI agents actually work — this course will get you there.

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