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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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AI and workers: automation, monitoring and fair change

AI and workers: automation, monitoring and fair change

Think through how AI affects jobs, workplace monitoring and the hidden labour behind modelsAll levelsAI safety and ethics4.5(2)44 lessonsSampleAisha Rahman$5 AI companions: what families should know

AI companions: what families should know

Understand companion chatbots, why people bond with them, and how to keep their use healthyAll levelsAI safety and ethics4.5(2)43 lessonsSampleAnika Lindqvist$5 Copyright and AI: the open questions

Copyright and AI: the open questions

Understand the unresolved copyright questions around AI training and outputs, without legal jargonAll levelsAI safety and ethics4.3(3)43 lessonsSampleBao Tran$5 Interpretability: looking inside neural networks

Interpretability: looking inside neural networks

Learn how researchers try to understand what happens inside models, and what we still cannot seeAdvancedAI safety and ethics4.5(2)39 lessonsSampleBao Tran$12 Auditing a model for bias: a hands-on method

Auditing a model for bias: a hands-on method

Run a structured fairness audit with clear metrics, subgroup tests and an honest written reportAdvancedAI safety and ethics4.5(2)36 lessonsSampleAisha Rahman$11 Data protection principles for AI projects

Data protection principles for AI projects

Apply core data protection principles to AI projects from design to deployment, without legal jargonAdvancedAI safety and ethics4.5(2)35 lessonsSampleAlejandra Ruiz$11 Scaling laws and where AI progress comes from

Scaling laws and where AI progress comes from

Understand how compute, data and model size drive progress, and the debates about what comes nextAdvancedHow language models work4.5(2)33 lessonsSampleBenedict Asante$10 The energy and water cost of AI

The energy and water cost of AI

Understand what is known and unknown about AI's electricity, water and carbon footprintAll levelsAI safety and ethics4.5(2)29 lessonsSampleBenedict Asante$4 Newsroom AI Policy and Editing for Editors

Newsroom AI Policy and Editing for Editors

Set newsroom AI rules, edit AI assisted copy and handle disclosure and corrections with confidenceAdvancedAI for professionals4.5(2)26 lessonsSampleZoltan Varga$11 Reading AI benchmarks and research claims

Reading AI benchmarks and research claims

Judge leaderboards, benchmark scores and model comparisons with a researcher's critical eyeAdvancedHow language models work4.5(2)19 lessonsSampleBruno Azevedo$9 Why some models are fast: efficiency tricks inside

Why some models are fast: efficiency tricks inside

Learn the techniques that make models faster and cheaper: from mixture of experts to KV cachingAdvancedHow language models workNewBenedict Asante$11 A practical framework for AI ethics

A practical framework for AI ethics

Use a simple five question method to reason through any AI ethics dilemma on your ownAll levelsAI safety and ethicsNewAisha Rahman$5