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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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Metadata Filters and Permission Aware Retrieval

Metadata Filters and Permission Aware Retrieval

Filter retrieval by date, product or tenant and make sure users only ever retrieve what they may see.AdvancedRAG and search4.7(3)57 lessonsSampleEmeka Nwosu$11 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 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 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 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 Prompt Injection Defences for LLM Apps

Prompt Injection Defences for LLM Apps

Design LLM apps that stay safe when users, documents, web pages or tool results contain hostile instructions.AdvancedBuilding with LLM APIs4.7(3)49 lessonsSampleGreta Lindqvist$12 Prompt Injection and Agent Security

Prompt Injection and Agent Security

Understand how untrusted text hijacks agents and design systems that limit the damage when it doesAdvancedAI agents4.7(3)45 lessonsSampleIngrid Solberg$13 Python Refresher for Returning Coders

Python Refresher for Returning Coders

Catch up on modern Python quickly if you coded years ago or come from another language.All levelsPython for AI4.0(3)44 lessonsSampleEfua Mensah$4 LLM APIs Explained for Product Teams

LLM APIs Explained for Product Teams

Understand what your engineers mean by tokens, context, latency and rate limits, and ask better questions.All levelsBuilding with LLM APIs4.7(3)43 lessonsSampleGabriela Sousa$4 Async Python for Many API Calls

Async Python for Many API Calls

Run hundreds of model or web API calls concurrently with asyncio, limits, retries and clean results.AdvancedBuilding with LLM APIs4.7(3)41 lessonsSampleFelix Brandt$9 When Retrieval Is the Wrong Tool

When Retrieval Is the Wrong Tool

Decide when RAG fits a problem and when a database query, tool call, longer prompt or plain search fits better.All levelsRAG and search4.5(2)40 lessonsSampleFumiko Arai$5 Reranking Retrieved Results

Reranking Retrieved Results

Add a reranking stage that puts the truly relevant passages first, within your latency and cost budget.AdvancedRAG and search4.5(2)35 lessonsSampleEmeka Nwosu$10