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

79 tutors

All Machine learning Beginner Clear all

SQL for Analysis: First Queries

SQL for Analysis: First Queries

Write SQL that answers real questions, and check that the answer is rightBeginnerData science and statistics4.5(4)96 lessonsSampleLin ZhaoFree Classification Metrics Beyond Accuracy

Classification Metrics Beyond Accuracy

Read a confusion matrix and pick the metric that matches the cost of each mistakeBeginnerMachine learning4.7(3)83 lessonsSampleLukas Brenner$4 Communicating Results to Non Experts

Communicating Results to Non Experts

Turn analysis into clear sentences, simple charts and decisions people act onAll levelsData science and statistics4.3(4)82 lessonsSampleKojo Amankwah$5 Linear Regression, Line by Line

Linear Regression, Line by Line

Fit, read and question a linear regression so you know exactly what its numbers meanBeginnerMachine learning4.3(4)80 lessonsSampleKavya Raman$4 Deep learning without the jargon

Deep learning without the jargon

Understand what deep learning is, what it does well and where it fails, with no maths neededBeginnerAI basics4.7(3)78 lessonsSampleMira OkaforFree Text classification from baseline to transformer

Text classification from baseline to transformer

Build text classifiers step by step, starting with a strong simple baseline and honest metricsBeginnerMachine learning4.3(4)74 lessonsSampleNadia Haddad$5 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 Word and sentence embeddings

Word and sentence embeddings

Understand how meaning becomes vectors, compute similarity yourself and choose embeddings wiselyBeginnerNLP4.7(3)74 lessonsSampleNadia Haddad$5 Machine translation: how it works and fails

Machine translation: how it works and fails

Understand how machines translate, judge translation quality and know when a human translator is neededAll levelsNLP4.3(3)74 lessonsSampleNadia Haddad$6 Maths Refresher for Returning Adults

Maths Refresher for Returning Adults

Rebuild the school maths you need for data and AI, calmly and at your own paceBeginnerMath for AI4.7(3)73 lessonsSampleKatarzyna WolskaFree Regression Metrics and Residual Analysis

Regression Metrics and Residual Analysis

Choose between MAE, RMSE and friends, then read residuals to find what your model missesBeginnerMachine learning4.0(3)73 lessonsSampleLukas Brenner$4 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