Machine Learning and AI

Understand how machines learn, train real models, and learn how language models work and how to use them well.

By the end: You can train and evaluate a model, explain how a language model produces text, and check AI output before relying on it.

Look for the dashed Project step: a hands-on build that uses what the courses before it taught.

1. 1
   Python

   The language of machine learning.

   19 lessons · Beginner
2. 2
   NumPy

   The array maths that every model is built on.

   16 lessons · Intermediate
3. 3
   Pandas

   Prepare the data a model learns from.

   18 lessons · Intermediate
4. 4
   Statistics

   Understand uncertainty, samples and testing.

   16 lessons · Intermediate
5. 5
   Machine Learning

   Train, test and tune models with scikit-learn.

   21 lessons · Intermediate
6. 6
   AI Foundations

   Neural networks, language models and responsible use.

   18 lessons · Beginner