AI-Assisted Machine Learning with LLMs and MCP in JupyterLab

About this course

AI-Assisted Machine Learning with LLMs and MCP in JupyterLab is not a traditional machine learning course. It does not aim to teach formal machine learning theory, mathematical derivations, or academic foundations. Instead, this course teaches you how to use large language models (LLMs) as practical tools to build, run, and experiment with machine learning systems.

If you are looking for a deep theoretical explanation of “What is Machine Learning?” or a math-heavy course filled with formulas and proofs, this is not that course.

This course is about how to use AI to do machine learning.

It is 100% hands-on.

You will connect an LLM (Claude, OpenAI, DeepSeek, or any compatible model) to JupyterLab using MCP (Model Context Protocol) and use it as your coding partner. The LLM generates Python code, injects it directly into your notebooks, helps debug errors, suggests improvements, and explains outputs when needed. Your focus is on building and experimenting—not studying theory.

Think of it like “vibe coding” courses. In vibe coding, you are not taught how to manually write every line of code from scratch. Instead, you learn how to use LLMs effectively to generate, refine, and improve code. The skill being taught is not programming syntax—it is how to collaborate with AI to build software.

This course follows the same philosophy.

You are not learning machine learning in the traditional academic sense.

You are learning how to use AI to perform machine learning tasks efficiently.

If at any point you want to understand why the code is written a certain way, or what theory is behind a specific algorithm, you can simply ask the same LLM that generated the code. It can explain the mathematics, the intuition, or the concepts in as much depth as you want. The explanation is available on demand.

Therefore, in this course, I intentionally focus on the how, not the theor

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.