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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 Clustering Without Guesswork

Clustering Without Guesswork

Group data with k-means, hierarchical clustering and DBSCAN, and check the groups are usefulBeginnerMachine learning4.7(3)33 lessonsSampleKatarzyna Wolska$4 Decision Trees You Can Draw

Decision Trees You Can Draw

Build a decision tree by hand and understand every split it makesBeginnerMachine learning4.5(2)22 lessonsSampleKavya Raman$4 Machine learning from zero

Machine learning from zero

The core ideas of machine learning, explained with small, concrete examples.BeginnerMachine learningNewDaniel Reyes$7 Dot Products and Similarity

Dot Products and Similarity

Measure how alike two vectors are and see how search and recommendations use itBeginnerMath for AINewKatarzyna Wolska$4 Wrapping a model in a reliable API

Wrapping a model in a reliable API

Turn a trained model into a small, well behaved web service that fails clearly and safelyBeginnerMLOps and deploymentNewMalik Brennan$5 Writing your first training loop

Writing your first training loop

Write a clear, correct training loop in any framework and know what each line is forBeginnerDeep learningNewMira Okafor$4 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 Exploratory Data Analysis Step by Step

Exploratory Data Analysis Step by Step

Explore a new dataset with a clear routine and turn what you notice into testable questionsBeginnerData science and statisticsNewLin Zhao$4 AI visual inspection for factories, explained

AI visual inspection for factories, explained

Learn how camera based defect detection works on a production line, and what makes it succeedBeginnerComputer visionNewMagnus Eriksen$5 Gradient Descent by Hand

Gradient Descent by Hand

Take gradient descent steps with a pencil and feel how learning rates make or break trainingBeginnerMath for AINewLeandro Ferraz$4 Distributions in the Wild

Distributions in the Wild

Recognise the common distributions in real data and know what each impliesBeginnerData science and statisticsNewLina Khoury$4