Skip to content

SamplePreview build: teacher profiles, ratings, reviews and lesson counts are sample data.

Log in Find a tutor

Find a tutor

657 tutors in 31 topics, built by 75 teachers. Each one follows a lesson plan its teacher wrote.

Filters

Sort by

Price

Any price Free Paid

Level

Any level Beginner Intermediate Advanced

Topic

All topics

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

Clear

149 tutors

All Machine learning Clear all

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 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 Decision Trees You Can Draw

Decision Trees You Can Draw

Build a decision tree by hand and understand every split it makesBeginnerMachine learning4.5(2)22 lessonsSampleKavya Raman$4 Machine learning from zero

Machine learning from zero

The core ideas of machine learning, explained with small, concrete examples.BeginnerMachine learningNewDaniel Reyes$7 Dot Products and Similarity

Dot Products and Similarity

Measure how alike two vectors are and see how search and recommendations use itBeginnerMath for AINewKatarzyna Wolska$4 Messy Real World Data

Messy Real World Data

Handle time zones, dirty join keys, shifting definitions and late data like a seasoned analystIntermediateData science and statisticsNewLin Zhao$7 Initialisation and normalisation layers

Initialisation and normalisation layers

Understand how weight initialisation and normalisation keep deep networks trainableAdvancedDeep learningNewMira Okafor$11 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 Recommender Systems Explained

Recommender Systems Explained

Understand how recommendations are made, evaluated and kept from narrowing what people seeIntermediateMachine learningNewKatarzyna Wolska$8 Positional information in transformers

Positional information in transformers

Learn how transformers know word order, from sinusoids to rotary embeddings and long context limitsIntermediateDeep learningNewNikolai Sorin$8 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 Medical imaging AI: how it is built and checked

Medical imaging AI: how it is built and checked

Understand how imaging models are trained, validated and overseen, for education onlyAll levelsComputer visionNewMalik Brennan$8