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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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LLM APIs on a Solo Developer Budget

LLM APIs on a Solo Developer Budget

Build and launch a side project on model APIs without a surprise bill, abuse or an overbuilt setup.All levelsBuilding with LLM APIsNewFarid Haddad$4 A practical framework for AI ethics

A practical framework for AI ethics

Use a simple five question method to reason through any AI ethics dilemma on your ownAll levelsAI safety and ethicsNewAisha Rahman$5 Editing AI Drafts Like a Professional Editor

Editing AI Drafts Like a Professional Editor

Apply professional editing passes to AI assisted drafts: structure, logic, accuracy, voice and polish.AdvancedAI for writingNewCora Lindqvist$11 Graph neural networks

Graph neural networks

Learn message passing on graphs and build models for nodes, edges and whole graphs without leakageAdvancedDeep learningNewNikolai Sorin$11 Synthetic data for training, used with care

Synthetic data for training, used with care

Generate training data with models where it helps, and filter, verify and document it properlyAll levelsFine tuning and trainingNewNeha Varadan$7 Causal Inference Basics

Causal Inference Basics

Estimate causal effects from observational data and state your assumptions out loudAdvancedData science and statisticsNewKojo Amankwah$12 Vision transformers in depth

Vision transformers in depth

Understand patch tokens, position embeddings, data needs and compute trade offs in vision transformersAdvancedComputer visionNewNoor Siddiqui$12 Dependency and Package Safety with AI Suggestions

Dependency and Package Safety with AI Suggestions

Check every package an assistant suggests so invented, abandoned or malicious libraries never reach your buildAdvancedAI coding assistantsNewIlse Vermeulen$11 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 Catastrophic forgetting and how to limit it

Catastrophic forgetting and how to limit it

Measure what a model loses when you fine tune it, and use replay, regularisation and merging to limit itAdvancedDeep learningNewNeha Varadan$12 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