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Foundations 89
All Foundations89AI basics25How language models work23AI safety and ethics49
Everyday AI 91
All Everyday AI91Prompting20ChatGPT and Claude at work25AI for writing29AI for research and study33
Building with AI 162
All Building with AI162Python for AI21Building with LLM APIs30RAG and search21Evaluation and testing21AI agents31AI automation25AI coding assistants30
Machine learning 149
All Machine learning149Machine learning35Data science and statistics30Math for AI23Deep learning28NLP14Computer vision14Fine tuning and training12MLOps and deployment18
Creative AI 77
All Creative AI77Image and video AI58Audio and voice AI12AI for design33
AI at work 145
All AI at work145AI for business34AI for marketing and sales23AI for product and operations28AI for education28AI for professionals29AI careers18
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Unit Tests for Python AI Code

Unit Tests for Python AI Code

Test the deterministic parts of LLM apps properly, with fake model clients instead of flaky live calls.IntermediateEvaluation and testing4.3(3)61 lessonsSampleFelix Brandt$6SQL Window Functions and Cohorts

SQL Window Functions and Cohorts

Rank, compare and track users over time with window functions and clean CTEsIntermediateData science and statistics4.7(3)61 lessonsSampleLin Zhao$6Reference Images and Visual Consistency

Reference Images and Visual Consistency

Use reference images to keep colour, style and layout steady across a setIntermediateImage and video AI4.7(3)61 lessonsSampleOriana Velasco$7Music Generation and Its Copyright Questions

Music Generation and Its Copyright Questions

Make music with AI tools and understand the rights, licences and risks in plain termsAll levelsAudio and voice AI4.0(3)61 lessonsSamplePavel Novak$4Vision language models: what they see

Vision language models: what they see

Know how AI models read images, what they get right and wrong, and how to check their answersAll levelsComputer vision4.7(3)61 lessonsSampleNoor Siddiqui$6Bias and fairness in AI systems

Bias and fairness in AI systems

Learn where AI bias comes from, how it shows up, and what can realistically be done about itIntermediateAI safety and ethics4.7(3)61 lessonsSampleAisha Rahman$6Choosing the Right Model for a Task

Choosing the Right Model for a Task

Pick a model by testing it on your own task, weighing quality, speed, cost, context and data handling.All levelsBuilding with LLM APIs4.3(3)60 lessonsSampleGabriela Sousa$5Studying with Dyslexia or ADHD Using AI Tools

Studying with Dyslexia or ADHD Using AI Tools

Use AI for reading, planning and focus support that fits how your brain works, within your course rulesAll levelsAI for education4.7(3)60 lessonsSampleWanjiru Kamau$5Talking With Your Team About AI Worries

Talking With Your Team About AI Worries

Hold honest conversations about jobs, skills and fairness when AI arrives at workAll levelsAI for business4.3(3)59 lessonsSampleSaoirse KellyFreeFine tune, prompt or retrieve?

Fine tune, prompt or retrieve?

Choose between prompting, retrieval and fine tuning for your problem, and know whyAll levelsFine tuning and training4.7(3)59 lessonsSampleNeha VaradanFreeMarketing Reports People Actually Read

Marketing Reports People Actually Read

Turn platform exports into short reports that lead with the answer and survive scrutinyIntermediateAI for marketing and sales4.3(3)59 lessonsSampleThea Lindqvist$7Tool Calling: Let the Model Use Your Code

Tool Calling: Let the Model Use Your Code

Define tools, run the call and result loop safely, and get a model to use your functions correctly.IntermediateBuilding with LLM APIs4.7(3)59 lessonsSampleGreta Lindqvist$8