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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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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 lessonsSample
Bastian Weber$5
Fair 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 lessonsSample
Yasmin Farouk$7
AI 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 lessonsSample
Zoltan Varga$8
AI 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 lessonsSample
Alejandra Ruiz$6
Bias 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 lessonsSample
Aisha Rahman$6
AI and the misinformation ecosystem

AI and the misinformation ecosystem

Understand how AI changes the production and spread of false information, and what helpsIntermediateAI safety and ethics4.5(2)58 lessonsSample
Bruno Azevedo$6
Ethics as a Career Skill in AI Work

Ethics as a Career Skill in AI Work

Learn to spot risks, raise concerns well and show ethical judgement in AI projects and interviewsIntermediateAI careers4.3(3)57 lessonsSample
Yuki Tanabe$7
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 lessonsSample
Aisha Rahman$7
AI alignment and risk debates, presented fairly

AI alignment and risk debates, presented fairly

Understand the arguments about AI risk from every side, and form your own reasoned viewIntermediateAI safety and ethics4.3(4)52 lessonsSample
Bao Tran$6
Telling people when AI is involved

Telling people when AI is involved

Decide when and how to disclose AI use to customers, colleagues and the public, clearly and honestlyIntermediateAI safety and ethics4.3(3)49 lessonsSample
Alejandra Ruiz$5
Sycophancy: 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 lessonsSample
Bao Tran$5
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 lessonsSample
Aisha Rahman$5