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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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Your First RAG Pipeline, End to End

Your First RAG Pipeline, End to End

Build a small retrieval augmented chatbot over your own documents, step by step, and see where it fails.BeginnerBuilding with LLM APIs4.7(3)59 lessonsSampleEmeka NwosuFree Token Counting and Cost Control

Token Counting and Cost Control

Count tokens, predict what a feature will cost and cut spending without hurting answer quality.BeginnerBuilding with LLM APIs4.3(3)57 lessonsSampleFarid Haddad$4 Pair Programming Habits with an AI Assistant

Pair Programming Habits with an AI Assistant

Work with a coding assistant like a good pair: small steps, clear roles and code you understandBeginnerAI coding assistants4.3(3)56 lessonsSampleJude Mensah$4 Cleaning Text with Python and Regex

Cleaning Text with Python and Regex

Clean and normalise messy text for AI pipelines with string methods, Unicode care and readable regex.BeginnerPython for AI4.7(3)54 lessonsSampleEfua Mensah$4 Embeddings Explained for Builders

Embeddings Explained for Builders

Understand what embeddings capture, what they miss and how to use them for search, grouping and matching.BeginnerRAG and search4.5(2)53 lessonsSampleEmeka Nwosu$4 Build Your First Eval Set

Build Your First Eval Set

Create a small, honest set of test cases for your LLM feature and use it to judge every change.BeginnerEvaluation and testing4.7(3)52 lessonsSampleGonzalo IbarraFree Cost and Latency Budgets for LLM Features

Cost and Latency Budgets for LLM Features

Set cost and speed targets for an LLM feature, measure them honestly and trade them against quality.All levelsBuilding with LLM APIs4.5(2)52 lessonsSampleFarid Haddad$8 Coding Assistants for Students: Learning with Integrity

Coding Assistants for Students: Learning with Integrity

Use AI to understand programming coursework without breaking your course rules or skipping the learningBeginnerAI coding assistants4.5(2)50 lessonsSampleJoanna Kowalczyk$3 Moderation, Refusals and Safe Responses

Moderation, Refusals and Safe Responses

Design how your LLM app handles harmful requests, refusals and sensitive topics, without blocking normal users.All levelsBuilding with LLM APIs4.3(3)49 lessonsSampleGreta Lindqvist$5 Letting an AI Assistant Act for You: Safety Basics

Letting an AI Assistant Act for You: Safety Basics

Use assistants that can browse, send or book on your behalf without handing over more than you meant toBeginnerAI agents4.5(2)48 lessonsSampleIngrid SolbergFree Meeting Notes Pipelines from Recording to Tasks

Meeting Notes Pipelines from Recording to Tasks

Turn meeting recordings into accurate notes, decisions and tasks that land where your team worksBeginnerAI automation4.7(3)48 lessonsSampleHamza Qureshi$4 Writing Task Descriptions a Coding Agent Can Follow

Writing Task Descriptions a Coding Agent Can Follow

Describe coding tasks with goal, context, constraints and done criteria so agents build the right thingBeginnerAI coding assistants4.5(2)47 lessonsSampleJude Mensah$4