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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

Alejandra Ruiz

I help managers and teams use AI at work safely, with clear oversight and sensible rulesAI basics for managers, AI safety and ethics at work, regulation in broad terms9 tutors4.5(17)Sample

Chidi Nwosu

Study habits built on how memory works, with an AI assistant as quizmaster and explainerStudy planning, flashcards and retrieval practice, exam preparation9 tutors4.5(19)Sample

Mateo Rojas

Generative models and representation learning, explained with intuition first and maths secondtransfer learning, autoencoders, GANs9 tutors4.6(20)Sample

Chloe Adeyemi

Careful, practical use of AI assistants for everyday office work: email, meetings, files and team habitsEmail drafting and triage, meeting notes, trustworthy summaries9 tutors4.4(18)Sample

Odile Laurent

AI in product design: UX workflows, mockups, design systems, slides and motionUX workflow, research synthesis, wireframes and mockups9 tutors4.4(19)Sample

Quentin Adebayo

The technical side of image AI: local models, node pipelines, adapters and settingsdiffusion model internals, sampler settings, local and open image models9 tutors4.5(17)Sample

Benedict Asante

I explain the kinds of AI models, what they cost to run and how to run one yourselfHow language models work, reasoning models, multimodal models9 tutors4.4(16)Sample

Aisha Rahman

I teach AI ethics as practical judgment: privacy, fairness and accountability you can act onAI safety and ethics, privacy, personal data9 tutors4.6(17)Sample

Malik Brennan

MLOps without the ceremony: tracking, versioning, monitoring and responsible deploymentexperiment tracking, model and data versioning, model APIs9 tutors4.5(18)Sample

Ilse Vermeulen

I teach how to review, test, refactor and secure code written with AI helpreviewing AI written code, test driven development with assistants, legacy refactoring9 tutors4.5(15)Sample

Leandro Ferraz

Calculus and optimisation for machine learning, done by handderivatives, gradients, chain rule9 tutors4.6(18)Sample

Hamza Qureshi

I teach operations teams to build AI automations for documents, requests and data that fail safelydocument and invoice processing, structured data extraction, classification and routing9 tutors4.5(18)Sample