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Foundations 89
All Foundations89AI basics25How language models work23AI safety and ethics49
Everyday AI 91
All Everyday AI91Prompting20ChatGPT and Claude at work25AI for writing29AI for research and study33
Building with AI 162
All Building with AI162Python for AI21Building with LLM APIs30RAG and search21Evaluation and testing21AI agents31AI automation25AI coding assistants30
Machine learning 149
All Machine learning149Machine learning35Data science and statistics30Math for AI23Deep learning28NLP14Computer vision14Fine tuning and training12MLOps and deployment18
Creative AI 77
All Creative AI77Image and video AI58Audio and voice AI12AI for design33
AI at work 145
All AI at work145AI for business34AI for marketing and sales23AI for product and operations28AI for education28AI for professionals29AI careers18
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Training versus inference, clearly

Training versus inference, clearly

Learn what happens when a model is trained, what happens when you use it, and why it mattersIntermediateHow language models work4.5(2)46 lessonsSampleBastian Weber$5Sycophancy: when AI tells you what you want to hear

Sycophancy: when AI tells you what you want to hear

Recognise flattering, agreeable AI answers and learn ways of asking that get honest feedbackIntermediateAI safety and ethics4.7(3)46 lessonsSampleBao Tran$5Model cards and ML governance

Model cards and ML governance

Document models honestly and set up light, real governance that helps people make good decisionsBeginnerAI safety and ethics4.0(3)45 lessonsSampleMalik Brennan$5AI for curious older adults

AI for curious older adults

A gentle, unhurried start with AI assistants, with safety habits built in from day oneBeginnerAI basics4.7(3)45 lessonsSampleAmara Okafor$3Safe use of AI at work: a staff guide

Safe use of AI at work: a staff guide

Use AI at work without leaking data, misleading anyone or breaking your organisation's rulesBeginnerAI safety and ethics4.7(3)45 lessonsSampleAlejandra RuizFreeAI 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$5AI 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$5Copyright 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$5Interpretability: 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$12How we got here: a short history of AI

How we got here: a short history of AI

Follow AI from rule based programs to today's chatbots and see why progress came in wavesBeginnerAI basics4.5(2)36 lessonsSampleAmara Okafor$4Auditing 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$11Jailbreaks, prompt injection and model misuse

Jailbreaks, prompt injection and model misuse

Understand how AI systems are manipulated and the defensive design that limits the damageIntermediateAI safety and ethics4.5(2)36 lessonsSampleBao Tran$7