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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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Security Review of Generated Code

Security Review of Generated Code

Find the injection flaws, broken access checks and leaked secrets that AI generated code commonly introducesAdvancedAI coding assistants4.7(3)54 lessonsSampleIlse Vermeulen$13 Data Analysis Agents for Spreadsheets and SQL

Data Analysis Agents for Spreadsheets and SQL

Use or build agents that query data, run analysis and explain results you can actually verifyIntermediateAI agents4.3(3)53 lessonsSampleJamal Haddad$8 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 Rate Limits, Retries and Backoff

Rate Limits, Retries and Backoff

Handle 429s and overloads gracefully with backoff, jitter, client side pacing and retries that never cause storms.IntermediateBuilding with LLM APIs4.7(3)53 lessonsSampleFarid Haddad$7 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 Type Hints and Project Structure

Type Hints and Project Structure

Organise a growing AI codebase with clear modules, type hints and data models others can follow.IntermediatePython for AI4.5(2)52 lessonsSampleFelix Brandt$6 Designing Tools an Agent Can Actually Use

Designing Tools an Agent Can Actually Use

Write tool names, descriptions, inputs and error messages that make agents choose and call tools correctlyIntermediateAI agents4.7(3)52 lessonsSampleHiroshi Tanabe$7 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 Research Agents: Search, Read, Cite

Research Agents: Search, Read, Cite

Build or steer research agents that gather sources, weigh them honestly and cite every claimIntermediateAI agents4.5(2)51 lessonsSampleJamal Haddad$7 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 Red Teaming and Prompt Injection Testing

Red Teaming and Prompt Injection Testing

Test your LLM app against jailbreaks, prompt injection and data leaks with a repeatable attack suite.AdvancedEvaluation and testing4.7(3)49 lessonsSampleGonzalo Ibarra$12 Rubric Grading for Open Ended Output

Rubric Grading for Open Ended Output

Design rubrics that make grading emails, summaries and explanations consistent, fair and repeatable.IntermediateEvaluation and testing4.3(3)49 lessonsSampleGonzalo Ibarra$6