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The 75 teachers behind every tutor. Each one wrote the lesson plans their tutors follow.

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75 teachers

Yasmin Farouk

Ex paralegal and operations lead teaching responsible AI for law, finance, HR and client businessesLegal research and drafting, document review, accounting and finance workflows9 tutors4.5(20)Sample

Amara Okafor

I help complete beginners and older learners feel at home with AI, one plain word at a timeAI basics, AI vocabulary, beginners9 tutors4.4(21)Sample

Sanjana Rao

Product management for AI features: deciding, specifying, testing and pricing them wellAI product management, product requirements, UX of AI features9 tutors4.5(19)Sample

Pavel Novak

Voice and audio AI for creators: speech, podcasts, clean up, subtitles, music and consenttext to speech, voice cloning consent, podcast production9 tutors4.5(21)Sample

Kavya Raman

Classical machine learning models, worked through on paper before any codelinear and logistic regression, decision trees, random forests9 tutors4.4(20)Sample

Ruth Okafor

AI video made like film: shot planning, camera language, consistency and the edittext to video, image to video, storyboards and shot lists9 tutors4.5(20)Sample

Delphine Moreau

Research with AI assistants done carefully: finding, reading, checking and citingLiterature search, source and citation checking, reading papers9 tutors4.4(18)Sample

Efua Mensah

Python teacher for people starting AI work from zero, patient with setup, files and first scriptsPython setup and environments, notebooks, core data structures9 tutors4.5(20)Sample

Ren Takahashi

Art direction for AI work: briefs, taste, identity, clients, rights and disclosureart direction, moodboards, creative briefs9 tutors4.6(22)Sample

Emeka Nwosu

Search engineer teaching embeddings, chunking, vector and keyword search, and reranking from first principlesembeddings, chunking, vector databases9 tutors4.6(18)Sample

Felix Brandt

Numerical Python and code quality for data and AI projects that have outgrown a single notebookNumPy, pandas, plotting9 tutors4.5(18)Sample

Nikolai Sorin

Architectures explained from the inside: convolutions, recurrence, attention and beyondconvolutional networks, recurrent networks, transformers9 tutors4.6(22)Sample