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AI Agents

Learn to build AI agents across 12 free courses from Hugging Face, Microsoft, UC Berkeley, Google Kaggle, and Anthropic. A progressive learning track from foundations to MCP specialization.

Beginner

Foundations of AI Agents

Start with the broad surveys. Free, certified paths from Hugging Face and Anthropic, plus Microsoft's 18-lesson breadth track and Kaggle's 5-day GenAI intensive.

4 lessons
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Intermediate

Agent Frameworks & Theory

Move from surveys to systems. Berkeley's academic MOOC, Andrew Ng's vendor-neutral design patterns, and LangChain Academy's LangGraph deep dive.

3 lessons
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Advanced

Advanced, Production & MCP

Ship to production. Berkeley's advanced formal-math sequel, the Kaggle × Google 5-Day Agents intensive, then MCP specialization from HF, Microsoft, and Anthropic.

5 lessons
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Frequently asked questions

What will I learn about AI agents?

How agents reason, call tools, remember state and coordinate: the perceive-reason-act loop, agent design, memory, multi-agent patterns and evaluation.

Which protocols are covered?

MCP (Model Context Protocol) and A2A (Agent2Agent) each get a dedicated explainer, plus where each fits in an agent stack.

Do I need to code to follow along?

No. Concepts come first in plain English, with code and schema examples included where they help.