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657 tutors in 31 topics, built by 75 teachers. Each one follows a lesson plan its teacher wrote.

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Foundations 89

All Foundations89 AI basics25 How language models work23 AI safety and ethics49

Everyday AI 91

All Everyday AI91 Prompting20 ChatGPT and Claude at work25 AI for writing29 AI for research and study33

Building with AI 162

All Building with AI162 Python for AI21 Building with LLM APIs30 RAG and search21 Evaluation and testing21 AI agents31 AI automation25 AI coding assistants30

Machine learning 149

All Machine learning149 Machine learning35 Data science and statistics30 Math for AI23 Deep learning28 NLP14 Computer vision14 Fine tuning and training12 MLOps and deployment18

Creative AI 77

All Creative AI77 Image and video AI58 Audio and voice AI12 AI for design33

AI at work 145

All AI at work145 AI for business34 AI for marketing and sales23 AI for product and operations28 AI for education28 AI for professionals29 AI careers18

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Reading Statistics in Research and News

Reading Statistics in Research and News

Judge a study or headline claim with a short list of sharp questionsAll levelsData science and statistics4.7(3)34 lessonsSampleLina Khoury$5 RNNs, LSTMs and why transformers took over

RNNs, LSTMs and why transformers took over

Understand recurrent networks, their gates and limits, and the real reasons attention replaced themIntermediateDeep learning4.5(2)32 lessonsSampleNikolai Sorin$7 Maths and Science Problem Solving with AI Hints

Maths and Science Problem Solving with AI Hints

Get unstuck on maths and science problems with hints, checks and explanations, not copied answersIntermediateAI for education4.5(2)31 lessonsSampleWanjiru Kamau$5 Messy Real World Data

Messy Real World Data

Handle time zones, dirty join keys, shifting definitions and late data like a seasoned analystIntermediateData science and statisticsNewLin Zhao$7 Recommender Systems Explained

Recommender Systems Explained

Understand how recommendations are made, evaluated and kept from narrowing what people seeIntermediateMachine learningNewKatarzyna Wolska$8 Positional information in transformers

Positional information in transformers

Learn how transformers know word order, from sinusoids to rotary embeddings and long context limitsIntermediateDeep learningNewNikolai Sorin$8 Medical imaging AI: how it is built and checked

Medical imaging AI: how it is built and checked

Understand how imaging models are trained, validated and overseen, for education onlyAll levelsComputer visionNewMalik Brennan$8 CI and testing for ML projects

CI and testing for ML projects

Add fast automated checks that catch broken data, code and models before they reach usersIntermediateEvaluation and testingNewMalik Brennan$8 Overfitting and Regularisation

Overfitting and Regularisation

Diagnose overfitting with learning curves and fix it with the right kind of regularisationIntermediateMachine learningNewLukas Brenner$6 Evaluating generated text

Evaluating generated text

Measure the quality of generated text with metrics, people and model judges, and know each one's limitsIntermediateEvaluation and testingNewMateo Rojas$8 Bayesian Thinking for Analysts

Bayesian Thinking for Analysts

Update beliefs with data using priors, likelihoods and posteriors you can explainIntermediateData science and statisticsNewLina Khoury$7 Synthetic data for training, used with care

Synthetic data for training, used with care

Generate training data with models where it helps, and filter, verify and document it properlyAll levelsFine tuning and trainingNewNeha Varadan$7