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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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Why language models make things up

Why language models make things up

Understand the causes of hallucination and build habits that catch it before it costs youAll levelsAI safety and ethics4.4(5)122 lessonsSampleBastian Weber$5Fair Hiring: AI in Recruiting Without Bias

Fair Hiring: AI in Recruiting Without Bias

Use AI to write better job ads, structure interviews and screen fairly, with humans making decisionsAll levelsAI for professionals4.3(4)85 lessonsSampleYasmin Farouk$7Running a language model on your own computer

Running a language model on your own computer

Work out what your machine can run, set up a local model, and know what to expect from itIntermediateHow language models work4.3(4)80 lessonsSampleBenedict Asante$7AI Verification Skills for Journalists

AI Verification Skills for Journalists

Use AI to help verify, transcribe and research stories while protecting accuracy and your sourcesIntermediateAI for professionals4.7(3)72 lessonsSampleZoltan Varga$8How to keep learning as AI changes

How to keep learning as AI changes

Build a sustainable personal system for staying current in AI without drowning in newsAll levelsAI basics4.7(3)69 lessonsSampleBao TranFreeAttention mechanisms, step by step

Attention mechanisms, step by step

Compute attention by hand, then understand masks, heads, KV caching and efficient variantsIntermediateDeep learning4.3(4)66 lessonsSampleNikolai Sorin$8Reasoning models: when thinking time helps

Reasoning models: when thinking time helps

Learn how reasoning models work, when extra thinking pays off, and when it just costs moreIntermediateHow language models work4.7(3)65 lessonsSampleBenedict Asante$6AI regulation in broad terms

AI regulation in broad terms

Understand the main approaches to regulating AI worldwide and what they mean for your workIntermediateAI safety and ethics4.3(3)65 lessonsSampleAlejandra Ruiz$6Reporting on AI: a guide for journalists

Reporting on AI: a guide for journalists

Cover AI accurately: the right questions, sources, language and traps for reporters and editorsIntermediateAI basics4.7(3)63 lessonsSampleBruno Azevedo$7Open versus closed models, explained fairly

Open versus closed models, explained fairly

Understand open weights, open source and closed APIs, and how to choose between themAll levelsHow language models work4.3(3)62 lessonsSampleBenedict Asante$5Vision language models: what they see

Vision language models: what they see

Know how AI models read images, what they get right and wrong, and how to check their answersAll levelsComputer vision4.7(3)61 lessonsSampleNoor Siddiqui$6Bias and fairness in AI systems

Bias and fairness in AI systems

Learn where AI bias comes from, how it shows up, and what can realistically be done about itIntermediateAI safety and ethics4.7(3)61 lessonsSampleAisha Rahman$6