Search across educators, skills, and resources.

Jay Alammar

The Illustrated Transformer · Beginner to intermediate

Still one of the clearest visual explanations of transformer concepts.

Skills

Transformers, Embeddings, LLM concepts

Faisal Khan

Creator Academy AI · Beginner to intermediate

Low-cost Skool community teaching creators to make AI visuals, ads, avatars, and content systems.

Skills

AI video, AI image creation, UGC ads, AI influencers

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

Maggie Appleton

AI and language model essays · Beginner to intermediate

Good for understanding how people experience and design with language-model interfaces.

Skills

AI UX, Language model interfaces, Conceptual models

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

Brandon Rohrer

Brandon Rohrer ML explanations · Beginner to intermediate

Good plain-English explanations of ML concepts, pitfalls, and practical mental models.

Skills

ML foundations, Deep learning, Model intuition

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

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