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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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SQL for Analysis: First Queries

SQL for Analysis: First Queries

Write SQL that answers real questions, and check that the answer is rightBeginnerData science and statistics4.5(4)96 lessonsSampleLin ZhaoFree Backpropagation in practice

Backpropagation in practice

Follow gradients through a real network and fix the training bugs that come from misusing themIntermediateDeep learning4.5(4)91 lessonsSampleMira Okafor$7 Imbalanced Classes, Handled Carefully

Imbalanced Classes, Handled Carefully

Model rare events like fraud or failures without tricks that quietly backfireIntermediateMachine learning4.5(4)86 lessonsSampleLukas Brenner$7 Classification Metrics Beyond Accuracy

Classification Metrics Beyond Accuracy

Read a confusion matrix and pick the metric that matches the cost of each mistakeBeginnerMachine learning4.7(3)83 lessonsSampleLukas Brenner$4 Inference optimisation for serving at scale

Inference optimisation for serving at scale

Serve language models faster and cheaper by understanding prefill, decode, batching and cachingAdvancedMLOps and deployment4.7(3)83 lessonsSampleMagnus Eriksen$15 Communicating Results to Non Experts

Communicating Results to Non Experts

Turn analysis into clear sentences, simple charts and decisions people act onAll levelsData science and statistics4.3(4)82 lessonsSampleKojo Amankwah$5 Linear Regression, Line by Line

Linear Regression, Line by Line

Fit, read and question a linear regression so you know exactly what its numbers meanBeginnerMachine learning4.3(4)80 lessonsSampleKavya Raman$4 Named entity recognition in practice

Named entity recognition in practice

Extract people, places, organisations and custom entities from text, and evaluate the results properlyIntermediateNLP4.7(3)79 lessonsSampleNadia Haddad$7 Deep learning without the jargon

Deep learning without the jargon

Understand what deep learning is, what it does well and where it fails, with no maths neededBeginnerAI basics4.7(3)78 lessonsSampleMira OkaforFree Instruction tuning a base model

Instruction tuning a base model

Turn a base model that only continues text into one that follows instructions in a reliable formatIntermediateFine tuning and training4.0(3)75 lessonsSampleNeha Varadan$9 Object detection explained

Object detection explained

Understand boxes, IoU, NMS and mAP well enough to train, evaluate and debug a detectorIntermediateComputer vision4.7(3)75 lessonsSampleNoor Siddiqui$8 Text classification from baseline to transformer

Text classification from baseline to transformer

Build text classifiers step by step, starting with a strong simple baseline and honest metricsBeginnerMachine learning4.3(4)74 lessonsSampleNadia Haddad$5