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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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Math for AI Intermediate Clear all

Backpropagation in practice

Backpropagation in practice

Follow gradients through a real network and fix the training bugs that come from misusing themIntermediateDeep learning4.5(4)91 lessonsSampleMira Okafor$7 Maximum Likelihood, Step by Step

Maximum Likelihood, Step by Step

Derive estimates by maximising likelihood and see why common losses are likelihoods in disguiseIntermediateMath for AI4.7(3)63 lessonsSampleKenta Arai$7 Reading Maths Notation in AI Papers

Reading Maths Notation in AI Papers

Translate the symbols in machine learning papers into plain words and small examplesAll levelsMath for AI4.7(3)55 lessonsSampleKatarzyna Wolska$6 Probability for Machine Learning

Probability for Machine Learning

Use random variables, conditional probability and distributions the way ML models doIntermediateMath for AI4.3(3)53 lessonsSampleKenta Arai$7 The Chain Rule and Backpropagation

The Chain Rule and Backpropagation

Compute gradients through a network by hand and see exactly what backpropagation doesIntermediateMath for AI4.7(3)52 lessonsSampleLeandro Ferraz$7 Loss Functions and What They Reward

Loss Functions and What They Reward

Choose a loss that matches what you actually care about, and know what each one optimisesIntermediateMachine learning4.3(3)50 lessonsSampleLeandro Ferraz$7 Support Vector Machines Explained

Support Vector Machines Explained

See margins, support vectors and kernels clearly, then tune C and gamma with confidenceIntermediateMachine learning4.5(2)45 lessonsSampleKavya Raman$7 Which Maths Do You Need for ML?

Which Maths Do You Need for ML?

Build a realistic maths study plan matched to the kind of AI work you want to doAll levelsMath for AI4.3(3)36 lessonsSampleLeandro Ferraz$5 Maths and Science Problem Solving with AI Hints

Maths and Science Problem Solving with AI Hints

Get unstuck on maths and science problems with hints, checks and explanations, not copied answersIntermediateAI for education4.5(2)31 lessonsSampleWanjiru Kamau$5 Bayesian Thinking for Analysts

Bayesian Thinking for Analysts

Update beliefs with data using priors, likelihoods and posteriors you can explainIntermediateData science and statisticsNewLina Khoury$7