Search across educators, skills, and resources.

Andrej Karpathy

Neural Networks: Zero to Hero · Intermediate

Excellent from-scratch explanations of neural networks and language models.

Skills

Neural networks, Backprop, LLM internals

Josh Starmer

StatQuest · Beginner to intermediate

Excellent plain-language explanations for statistics and machine learning concepts that underpin modern AI.

Skills

ML foundations, Statistics, Neural networks

Luis Serrano

Serrano Academy · Beginner to intermediate

Clear visual explanations of machine learning and AI math concepts.

Skills

ML foundations, Math, Neural networks, AI foundations

Google for Developers

Machine Learning Crash Course · Beginner

A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.

Topics

ML foundations, Classification, Embeddings, Neural networks

3Blue1Brown

Neural Networks series · Beginner to intermediate

High-quality visual intuition for neural networks and transformers before or alongside coding-heavy courses.

Topics

Neural networks, Transformers, Mathematical intuition

Harvard CS50

CS50's Introduction to Artificial Intelligence with Python · Beginner to intermediate

A rigorous entry point into classical AI concepts, search, optimization, machine learning, neural networks, and language processing.

Topics

Search, Knowledge representation, ML foundations, AI foundations

MIT 6.S191

MIT Introduction to Deep Learning · Beginner to intermediate

Compact university-level deep learning coverage with updated lectures and hands-on labs.

Topics

Deep learning, Neural networks, Generative AI, Model training

Stanford CS231N

Convolutional Neural Networks for Visual Recognition · Intermediate

Still useful for understanding vision models, training loops, backpropagation, and representation learning.

Topics

Computer vision, Deep learning, Model training