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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
Ethics for people building AI products

Ethics for people building AI products

Build harm analysis, documentation and incident handling into AI product work from day oneAdvancedAI safety and ethics4.7(3)67 lessonsSample
Aisha Rahman$10
AI risk assessment for a project

AI risk assessment for a project

Assess an AI project's risks with a clear method, a risk register and controls that are testedAdvancedAI safety and ethics4.5(2)56 lessonsSample
Alejandra Ruiz$10
Writing a School AI Policy for School Leaders

Writing a School AI Policy for School Leaders

Draft, consult on and launch a workable AI policy covering staff, pupils, data and assessmentAdvancedAI for education4.7(3)55 lessonsSample
Uma Raghavan$11
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
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 lessonsSample
Anika 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 lessonsSample
Bao 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 lessonsSample
Bao 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 lessonsSample
Aisha 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 lessonsSample
Alejandra Ruiz$11
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 lessonsSample
Benedict Asante$4