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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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Guardrails and Permissions for AI Agents

Guardrails and Permissions for AI Agents

Decide what your agent may read, write and spend, and enforce those limits in code rather than promptsIntermediateAI agents4.7(3)56 lessonsSampleIngrid Solberg$8 Optimisers: SGD, momentum and Adam

Optimisers: SGD, momentum and Adam

Choose and tune optimisers and learning rate schedules with understanding instead of guessworkIntermediateDeep learning4.7(3)56 lessonsSampleMira Okafor$8 Question answering, from extractive to generative

Question answering, from extractive to generative

Understand how QA systems find, read and generate answers, and how to tell when they should abstainIntermediateNLP4.7(3)56 lessonsSampleMateo Rojas$7 Debugging a RAG App That Answers Badly

Debugging a RAG App That Answers Badly

Trace each bad RAG answer to its real cause, from missing documents to ignored passages, and fix the most common.IntermediateRAG and search4.7(3)56 lessonsSampleFumiko Arai$8 Editing AI Clips into a Finished Piece

Editing AI Clips into a Finished Piece

Assemble AI footage into a polished edit with pacing, sound, colour and titlesIntermediateImage and video AI4.3(3)55 lessonsSampleRuth Okafor$7 Demand Forecasting Basics for Operations

Demand Forecasting Basics for Operations

Build a sensible demand forecast, compare it to simple baselines and know how wrong it might beIntermediateAI for product and operations4.3(3)55 lessonsSampleTakeshi Morimoto$9 AI for sceptics: an honest look

AI for sceptics: an honest look

A free, evidence first look at what AI does well, where the hype outruns reality, and whyAll levelsAI basics4.0(3)55 lessonsSampleBruno AzevedoFree Reading Maths Notation in AI Papers

Reading Maths Notation in AI Papers

Translate the symbols in machine learning papers into plain words and small examplesAll levelsMath for AI4.7(3)55 lessonsSampleKatarzyna Wolska$6 AI in hiring, lending and housing decisions

AI in hiring, lending and housing decisions

See how AI is used in decisions that shape people's lives, and what fair, contestable use requiresIntermediateAI safety and ethics4.7(3)55 lessonsSampleAisha Rahman$7 Metric Definitions That Hold Up

Metric Definitions That Hold Up

Define metrics precisely so every dashboard and team means the same thingAll levelsData science and statistics4.3(3)54 lessonsSampleLin Zhao$6 Random Forests and Bagging

Random Forests and Bagging

Understand why averaging many trees works and how to tune a forest sensiblyIntermediateMachine learning4.3(3)54 lessonsSampleKavya Raman$6 Running a One Person Business With AI

Running a One Person Business With AI

Set up simple AI routines for admin, clients and marketing when you are the whole teamAll levelsAI for business4.0(3)54 lessonsSampleTunde Adeyemi$5