Build AI agents thatactually do things.
MCP, multi-agent systems with Pydantic AI, and local models with Ollama. Coded live in one Colab notebook.
$ manager.run("Plan a weekend trip to Kannur and book a resort.")
[MANAGER → RESEARCHER] weather in Kannur + real hotel names?
[Research] check_weather("Kannur") → 84°F, clear
[Research] search_web("resorts in Kannur") → 3 results
[MANAGER → BOOKER] book "Blue Bay Resort", this weekend
[Booking] book_hotel(confirm=True) → CONFIRMED
FINAL: Trip planned. Blue Bay Resort booked for Sat–Sun.
Watch a free lesson
Lesson 3, unlocked. Turn a plain Python function into an agent tool with FastMCP.
Why this course
Whiteboard First
Every concept drawn by hand before any code appears.
No API Bills
Runs free on Colab with Ollama and Gemma 4 E4B. No keys, no per-token costs.
One Notebook
Every coding session in a single Colab. Run it top to bottom.
Production, Not Toys
Ends with a real REST API: FastAPI, JWT auth, hashed passwords.
Ten lessons. One working system.
Each lesson builds on the last.
Phase 1 · Protocol
The wire format under every agent framework.
Phase 2 · Agents
A local brain plus MCP hands.
Phase 3 · Model Internals
Tokens, bits, and quantization.
Phase 4 · Production
The capstone, coded live.
What you leave with
Speak MCP Fluently
Write MCP servers and tool schemas by hand.
Build Multi-Agent Systems
Orchestrate multi-agent, multi-tool systems.
Run Models on Your Metal
Pick the right quant and run models locally with Ollama.
Ship a Secured Agent API
Ship a JWT-secured agent API.
Frequently asked questions
Stop prompting. Start building agents.
One payment. Lifetime access. Every future update.
One-time payment · no subscription · all future course updates included