Library / Artificial Intelligence

Agentic AI: Build AI Agents with MCP, FastMCP & Pydantic AI

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About this course

Stop chatting with AI. Start building agents that do things.

Anyone can talk to a language model. Very few people can build an agent that reads files, calls tools, coordinates other agents, and runs as a real service you can deploy. This course takes you all the way there, from first principles to a secured, production-ready AI agent, with code you write and run yourself. No hand-waving, and no copy-paste magic you do not understand.

You will learn:- The tool-calling loop that turns a plain language model into an agent that takes action- The Model Context Protocol (MCP) explained properly: it is really just JSON-RPC 2.0 and three method names, and you will read and write it by hand- FastMCP, so a single Python function becomes a fully described agent tool in about ten lines- Your first real agent with Pydantic AI that writes a file to disk on your own machine- Multi-agent, multi-tool systems where a manager agent delegates to specialist agents, with safety checks on risky actions- What is really inside an LLM: tokens, embeddings, attention, FP16, and GGUF quantization, taught visually and from scratch- How to run models locally with Ollama, fully offline, with no API keys and no cloud bills- A capstone where you deploy your agent as a FastAPI REST API secured with JWT authentication, and trace the full request flow

Most courses stop at "here is a prompt.

" This one ends with a deployed, authenticated agent API, the part almost no one teaches. Every concept is grounded in code you write and run, so you finish with working projects, not just notes.

This course is taught by an AI researcher and founder who builds these systems for a living, with published work in applied AI. You should be comfortable writing basic Python. You do not need any AI or machine learning background, because everything about agents, MCP, and LLMs is taught from the ground up.

Enroll now and build your first production AI agent.

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