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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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Foundations 89

All Foundations89 AI basics25 How language models work23 AI safety and ethics49

Everyday AI 91

All Everyday AI91 Prompting20 ChatGPT and Claude at work25 AI for writing29 AI for research and study33

Building with AI 162

All Building with AI162 Python for AI21 Building with LLM APIs30 RAG and search21 Evaluation and testing21 AI agents31 AI automation25 AI coding assistants30

Machine learning 149

All Machine learning149 Machine learning35 Data science and statistics30 Math for AI23 Deep learning28 NLP14 Computer vision14 Fine tuning and training12 MLOps and deployment18

Creative AI 77

All Creative AI77 Image and video AI58 Audio and voice AI12 AI for design33

AI at work 145

All AI at work145 AI for business34 AI for marketing and sales23 AI for product and operations28 AI for education28 AI for professionals29 AI careers18

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Embeddings Explained for Builders

Embeddings Explained for Builders

Understand what embeddings capture, what they miss and how to use them for search, grouping and matching.BeginnerRAG and search4.5(2)53 lessonsSampleEmeka Nwosu$4 Build Your First Eval Set

Build Your First Eval Set

Create a small, honest set of test cases for your LLM feature and use it to judge every change.BeginnerEvaluation and testing4.7(3)52 lessonsSampleGonzalo IbarraFree Working with Clients on AI Assisted Work

Working with Clients on AI Assisted Work

Handle AI in client projects openly: proposals, contracts, data, revisions and deliveryAll levelsAI for design4.7(3)52 lessonsSampleRen Takahashi$5 Cost and Latency Budgets for LLM Features

Cost and Latency Budgets for LLM Features

Set cost and speed targets for an LLM feature, measure them honestly and trade them against quality.All levelsBuilding with LLM APIs4.5(2)52 lessonsSampleFarid Haddad$8 AI for Architects: Briefs, Concepts and Specifications

AI for Architects: Briefs, Concepts and Specifications

Use AI for briefs, precedent research, early concept imagery and specification drafts with honest limitsBeginnerAI for design4.5(2)52 lessonsSampleZoltan Varga$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 lessonsSampleAmara Okafor$4 Language Learning With an AI Conversation Partner

Language Learning With an AI Conversation Partner

Practise speaking and writing a new language at your level, with corrections that teach you something.All levelsAI for research and study4.3(3)51 lessonsSampleChidi Nwosu$5 Language Practice with an AI Conversation Partner

Language Practice with an AI Conversation Partner

Practise speaking and writing in a new language every day with AI, and know where to double checkBeginnerAI for education4.0(3)51 lessonsSampleWanjiru Kamau$4 Sequencing an AI Roadmap Over a Year

Sequencing an AI Roadmap Over a Year

Order AI projects so early ones build the skills, data and trust that later ones needAll levelsAI for business4.3(3)51 lessonsSampleSofia Brandt$6 Incident response for ML systems

Incident response for ML systems

Detect, contain and learn from ML failures, from silent quality drops to harmful outputsAll levelsMLOps and deployment4.7(3)51 lessonsSampleMalik Brennan$7 OCR and document understanding

OCR and document understanding

Understand how machines read scans, forms and tables, and how to check that they read correctlyBeginnerComputer vision4.3(3)51 lessonsSampleNoor Siddiqui$5 Transfer learning with pretrained models

Transfer learning with pretrained models

Get strong results from small datasets by starting with a model that has already learnedBeginnerComputer vision4.7(3)50 lessonsSampleMateo Rojas$5