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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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NumPy Arrays from the Ground Up

NumPy Arrays from the Ground Up

Think in arrays: shapes, axes, broadcasting and vectorised maths, with embeddings as the running example.BeginnerPython for AI4.5(2)29 lessonsSampleFelix Brandt$4 Human Approval Steps in Agent Workflows

Human Approval Steps in Agent Workflows

Place human checkpoints where they actually catch mistakes, without turning reviewers into rubber stampsBeginnerAI agents4.5(2)16 lessonsSampleIngrid Solberg$4 Python for AI, step by step

Python for AI, step by step

Just enough Python to work with data and call AI models from code.BeginnerPython for AINewDaniel Reyes$6 Agent Concepts for Product and Project Leads

Agent Concepts for Product and Project Leads

Understand agents well enough to scope, plan and review an agent project with your engineersAll levelsAI agentsNewHiroshi Tanabe$5 Wrapping a model in a reliable API

Wrapping a model in a reliable API

Turn a trained model into a small, well behaved web service that fails clearly and safelyBeginnerMLOps and deploymentNewMalik Brennan$5 Writing your first training loop

Writing your first training loop

Write a clear, correct training loop in any framework and know what each line is forBeginnerDeep learningNewMira Okafor$4 Licensing and Privacy Questions for AI Assisted Code

Licensing and Privacy Questions for AI Assisted Code

Understand the open questions about licences, ownership and code privacy so you can ask the right peopleAll levelsAI coding assistantsNewJoanna Kowalczyk$6 Golden Answers and Reference Checks

Golden Answers and Reference Checks

Write reference answers experts agree on and compare model output to them with the right matching method.BeginnerEvaluation and testingNewGonzalo Ibarra$5 Human Review That Scales

Human Review That Scales

Set up human review of AI outputs that is consistent, affordable and feeds back into better systems.All levelsEvaluation and testingNewGonzalo Ibarra$5 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 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 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