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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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294 tutors

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 lessonsSample
Bastian Weber$5
Summarisation systems and their failure modes

Summarisation systems and their failure modes

Build and judge summaries that stay faithful to the source, from short notes to long reportsAll levelsNLP4.7(3)46 lessonsSample
Mateo Rojas$6
Deploying an open weights model

Deploying an open weights model

Choose, size, secure and run an open weights model in production, and compare its real costIntermediateMLOps and deployment4.7(3)46 lessonsSample
Magnus Eriksen$9
Code Review Workflows for Teams Using AI

Code Review Workflows for Teams Using AI

Adapt your team's code review to a world of larger, faster, AI assisted pull requestsIntermediateAI coding assistants4.5(2)46 lessonsSample
Ilse Vermeulen$8
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
Wireframes to Mockups with AI Help

Wireframes to Mockups with AI Help

Move from rough wireframes to polished mockups faster while keeping usability and accessibilityIntermediateAI for design4.3(3)46 lessonsSample
Odile Laurent$7
Reading Research Papers With an AI Assistant

Reading Research Papers With an AI Assistant

Understand dense papers faster by using AI to explain methods and jargon while you check the text.IntermediateAI for research and study4.5(2)45 lessonsSample
Delphine Moreau$7
Dimensionality Reduction in Practice

Dimensionality Reduction in Practice

Use PCA, t-SNE and UMAP well, and avoid reading too much into pretty plotsIntermediateMachine learning4.3(3)45 lessonsSample
Katarzyna Wolska$7
Clear Instructions and How-To Guides With AI

Clear Instructions and How-To Guides With AI

Write step by step guides people can follow first time, using AI to draft and you to test.All levelsAI for writing4.5(2)45 lessonsSample
Cora Lindqvist$5
Becoming an LLM Application Engineer

Becoming an LLM Application Engineer

Learn what LLM application engineers do and build the skills and evidence to move into the roleIntermediateAI careers4.7(3)45 lessonsSample
Yohannes Tesfaye$8
Hypothesis Tests and P Values Done Right

Hypothesis Tests and P Values Done Right

Run tests, read p values correctly and report effects that actually matterIntermediateData science and statistics4.7(3)45 lessonsSample
Lina Khoury$7
Support Vector Machines Explained

Support Vector Machines Explained

See margins, support vectors and kernels clearly, then tune C and gamma with confidenceIntermediateMachine learning4.5(2)45 lessonsSample
Kavya Raman$7