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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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Machine learning Advanced Clear all

Which Model When: Choosing an Algorithm

Which Model When: Choosing an Algorithm

Pick a sensible model family for your data, constraints and goals, then test it fairlyAll levelsMachine learning4.3(3)74 lessonsSampleKenta Arai$7 End to End Tabular ML Project

End to End Tabular ML Project

Take one tabular dataset from question to tested model to clear write upAll levelsData science and statistics4.3(4)72 lessonsSampleLukas Brenner$9 Gradient Boosting for Tabular Data

Gradient Boosting for Tabular Data

Understand, tune and debug boosted trees, the workhorse of structured data problemsAdvancedMachine learning4.7(3)60 lessonsSampleKavya Raman$12 Data Science Interview Practice

Data Science Interview Practice

Practise statistics, ML, SQL and case questions with structured feedback on your answersAll levelsData science and statistics4.3(3)57 lessonsSampleKojo Amankwah$8 Anomaly Detection in Practice

Anomaly Detection in Practice

Find unusual events in data without drowning your team in false alarmsAdvancedMachine learning4.7(3)51 lessonsSampleKenta Arai$10 Data Leakage Detective

Data Leakage Detective

Find the hidden leaks that make models look brilliant in testing and fail in productionAdvancedMachine learning4.7(3)43 lessonsSampleLukas Brenner$10 Eigenvalues, Eigenvectors and PCA

Eigenvalues, Eigenvectors and PCA

Derive principal component analysis from eigenvectors and use it with full understandingAdvancedMachine learning4.7(3)39 lessonsSampleKatarzyna Wolska$11 ML Engineering Interview Preparation

ML Engineering Interview Preparation

Practise ML fundamentals, coding, ML system design and behavioural rounds with realistic mock questionsAdvancedAI careers4.7(3)30 lessonsSampleYohannes Tesfaye$13 Hyperparameter Tuning on a Budget

Hyperparameter Tuning on a Budget

Search smarter, spend less compute and avoid overfitting your validation setAdvancedMachine learningNewLukas Brenner$11