Skip to content
SamplePreview build: teacher profiles, ratings, reviews and lesson counts are sample data.

Find a tutor

657 tutors in 31 topics, built by 75 teachers. Each one follows a lesson plan its teacher wrote.

Filters

Clear
AI for sceptics: an honest look

AI for sceptics: an honest look

A free, evidence first look at what AI does well, where the hype outruns reality, and whyAll levelsAI basics4.0(3)55 lessonsSample
Bruno AzevedoFree
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
Deepfakes: how they work and how to check

Deepfakes: how they work and how to check

Understand synthetic faces, voices and video, and learn verification habits that still workBeginnerAI safety and ethics4.7(3)55 lessonsSample
Bruno Azevedo$4
Helping Your Child with Homework in the AI Age

Helping Your Child with Homework in the AI Age

Support your child's homework with AI in ways that build their thinking and respect school rulesBeginnerAI basics4.7(3)55 lessonsSample
Wanjiru KamauFree
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
Tokens: how models read text

Tokens: how models read text

See how text becomes tokens and why that explains odd model behaviour, limits and costsBeginnerHow language models work4.7(3)54 lessonsSample
Bastian Weber$4
Embeddings: meaning as numbers

Embeddings: meaning as numbers

See how words and documents become vectors, and why similar meanings end up close togetherIntermediateHow language models work4.7(3)52 lessonsSample
Bastian Weber$6
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
What AI can and cannot do

What AI can and cannot do

Get a realistic map of AI strengths and weaknesses so you know when to trust itBeginnerAI basics4.0(3)52 lessonsSample
Amara Okafor$4
From pretrained model to helpful assistant

From pretrained model to helpful assistant

Learn how instruction tuning, preference training and system prompts turn a predictor into an assistantAdvancedHow language models work4.5(2)51 lessonsSample
Bastian Weber$9
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
The attention formula, step by step

The attention formula, step by step

Work through queries, keys, values and softmax by hand until the transformer equation makes senseAdvancedHow language models work4.5(2)48 lessonsSample
Bastian Weber$9