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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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NLP for multilingual and low resource languages

NLP for multilingual and low resource languages

Build and evaluate language technology for languages that most datasets and models leave behindAll levelsNLPNewNadia Haddad$7 Topic discovery and text clustering

Topic discovery and text clustering

Find themes in large text collections and check that the topics you found are real and usefulIntermediateData science and statisticsNewNadia Haddad$7 Measuring Whether Coding Assistants Help You

Measuring Whether Coding Assistants Help You

Find out with your own evidence where coding assistants speed you up, slow you down or add riskAll levelsAI coding assistantsNewJoanna Kowalczyk$5 Team Habits: Agreeing How Your Team Uses AI

Team Habits: Agreeing How Your Team Uses AI

Agree simple shared rules for AI use in your team: tools, data, review, disclosure and learning.All levelsChatGPT and Claude at workNewChloe Adeyemi$6 Human oversight that actually works

Human oversight that actually works

Design human review of AI outputs that catches errors instead of rubber stamping themIntermediateAI safety and ethicsNewAlejandra Ruiz$6 Monitoring Agents in Production

Monitoring Agents in Production

Know what your live agent is doing, catch quality drops early and respond to incidents with a planIntermediateAI agentsNewIngrid Solberg$9 Probability Puzzles and Paradoxes

Probability Puzzles and Paradoxes

Sharpen your reasoning with famous puzzles, then settle every argument by counting or simulatingAll levelsData science and statisticsNewKenta Arai$5 Logistic Regression for Classification

Logistic Regression for Classification

Model yes or no outcomes, read odds ratios and choose thresholds with intentIntermediateMachine learningNewKavya Raman$6 Multilingual Apps on LLM APIs

Multilingual Apps on LLM APIs

Serve users in many languages with consistent quality, sensible cost and testing per language.IntermediateBuilding with LLM APIsNewGreta Lindqvist$6 Job Search Strategy for AI and Data Roles

Job Search Strategy for AI and Data Roles

Run a focused job search: target roles, tailor applications, use referrals and handle rejectionAll levelsAI careersNewYohannes Tesfaye$5 What an AI answer really costs

What an AI answer really costs

Understand the compute, tokens and money behind AI answers and why prices vary so muchIntermediateHow language models workNewBenedict Asante$5 Hybrid Search: Keywords Plus Vectors

Hybrid Search: Keywords Plus Vectors

Combine keyword and vector search so you find both exact codes and loosely worded questions.IntermediateRAG and searchNewEmeka Nwosu$8