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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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Large Changes with Coding Agents: Plan, Split, Verify

Large Changes with Coding Agents: Plan, Split, Verify

Use coding agents for migrations and cross cutting changes without losing control of a big codebaseAdvancedAI agentsNewJude Mensah$12 Rolling Out Coding Assistants Across a Team

Rolling Out Coding Assistants Across a Team

Introduce coding assistants to a development team with clear policy, fair training and honest measurementAll levelsAI coding assistantsNewJoanna Kowalczyk$9 A/B Testing LLM Features in Production

A/B Testing LLM Features in Production

Run fair online experiments on prompts, models and LLM features and read the results without fooling yourself.AdvancedEvaluation and testingNewGonzalo Ibarra$10 Contributing to Open Source AI Projects

Contributing to Open Source AI Projects

Make your first useful contributions to open source AI projects and build a public track recordIntermediateAI careersNewYohannes Tesfaye$6 Sandboxing Agents That Run Code

Sandboxing Agents That Run Code

Isolate code executing agents so a bad command cannot reach your files, network or secretsAdvancedAI agentsNewIngrid Solberg$13 Evaluating Agents: Tasks, Trajectories and Scores

Evaluating Agents: Tasks, Trajectories and Scores

Build an evaluation suite that tells you whether an agent change made things better or worseAdvancedAI agentsNewIngrid Solberg$12 Agent Ideas Workshop: Finding Good First Use Cases

Agent Ideas Workshop: Finding Good First Use Cases

Sort your team's agent ideas into worth building, better as a workflow, and not yetAll levelsAI agentsNewJamal Haddad$3 Browser and Computer Use Agents

Browser and Computer Use Agents

Understand agents that click, type and navigate screens, where they help and where they still struggleAdvancedAI agentsNewJamal Haddad$11 Evaluating generated text

Evaluating generated text

Measure the quality of generated text with metrics, people and model judges, and know each one's limitsIntermediateEvaluation and testingNewMateo Rojas$8 Multi Agent Systems: When They Pay Off

Multi Agent Systems: When They Pay Off

Judge when splitting work across several agents helps, and when it only multiplies cost and confusionAdvancedAI agentsNewHiroshi Tanabe$12 Evaluating AI Learning Tools Before You Buy

Evaluating AI Learning Tools Before You Buy

Judge AI edtech on evidence, safety, data, accessibility and real classroom fit before you commitAdvancedAI for educationNewValentin Moreau$10 Refactoring Legacy Code with AI Help

Refactoring Legacy Code with AI Help

Change old, untested code safely by pinning behaviour first and refactoring in small, reversible stepsAdvancedAI coding assistantsNewIlse Vermeulen$12