A simple learning list. Open the highlighted course link and complete one course at a time.
CS221 — Artificial Intelligence
Topic: Artificial intelligence foundations
Brief: Covers search, reasoning, decision-making and the foundational ideas used across modern AI systems.
CS229 — Machine Learning
Topic: Machine learning foundations
Brief: Andrew Ng’s foundational course on supervised, unsupervised and statistical machine learning.
CS229M — Machine Learning Theory
Topic: Mathematical theory behind machine learning
Brief: Explains why learning algorithms work and how their behaviour can be analysed formally.
CS230 — Deep Learning
Topic: Neural networks and deep learning