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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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149 tutors

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Derivatives and Gradients from Scratch

Derivatives and Gradients from Scratch

Understand rates of change, derivatives and gradients as the compass that guides learningBeginnerMath for AI4.7(3)62 lessonsSampleLeandro Ferraz$4 SQL Window Functions and Cohorts

SQL Window Functions and Cohorts

Rank, compare and track users over time with window functions and clean CTEsIntermediateData science and statistics4.7(3)61 lessonsSampleLin Zhao$6 Vision language models: what they see

Vision language models: what they see

Know how AI models read images, what they get right and wrong, and how to check their answersAll levelsComputer vision4.7(3)61 lessonsSampleNoor Siddiqui$6 Preference tuning: RLHF, DPO and related methods

Preference tuning: RLHF, DPO and related methods

Understand how models are tuned on human preferences, from reward models to direct preference lossesAdvancedFine tuning and training4.7(3)60 lessonsSampleNeha Varadan$14 The transformer, block by block

The transformer, block by block

Trace a token through every part of a transformer and count where the parameters liveAdvancedDeep learning4.7(3)60 lessonsSampleNikolai Sorin$12 Correlation Is Not Causation

Correlation Is Not Causation

Learn the everyday ways correlations mislead and what real causal evidence looks likeBeginnerData science and statistics4.5(4)60 lessonsSampleKojo AmankwahFree Framing a Problem for Machine Learning

Framing a Problem for Machine Learning

Turn a vague business wish into a clear prediction task, or learn that it does not need ML at allBeginnerMachine learning4.7(3)60 lessonsSampleKavya RamanFree A/B Testing for Beginners

A/B Testing for Beginners

Run your first A/B test properly, from hypothesis to a decision you can defendBeginnerData science and statistics4.7(3)60 lessonsSampleKojo Amankwah$4 Gradient Boosting for Tabular Data

Gradient Boosting for Tabular Data

Understand, tune and debug boosted trees, the workhorse of structured data problemsAdvancedMachine learning4.7(3)60 lessonsSampleKavya Raman$12 Data Science Interview Preparation

Data Science Interview Preparation

Prepare for SQL, statistics, experimentation, product sense and case rounds with realistic practiceAdvancedAI careers4.7(3)59 lessonsSampleYohannes Tesfaye$12 Fine tune, prompt or retrieve?

Fine tune, prompt or retrieve?

Choose between prompting, retrieval and fine tuning for your problem, and know whyAll levelsFine tuning and training4.7(3)59 lessonsSampleNeha VaradanFree Sentiment analysis done carefully

Sentiment analysis done carefully

Measure opinions in text without fooling yourself about sarcasm, mixed views or skewed averagesBeginnerNLP4.3(3)59 lessonsSampleNadia Haddad$4