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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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Working in a Terminal Based Coding Agent

Working in a Terminal Based Coding Agent

Use a command line coding agent to explore, edit, test and commit code safely in real projectsIntermediateAI agents4.7(3)72 lessonsSampleJude Mensah$8 Image embeddings and visual search

Image embeddings and visual search

Build image similarity and text to image search, and measure whether results are actually relevantIntermediateComputer vision4.7(3)71 lessonsSampleNoor Siddiqui$7 Reviewing AI Written Code Line by Line

Reviewing AI Written Code Line by Line

Catch the plausible bugs, invented APIs and quiet shortcuts that AI generated code often hidesIntermediateAI coding assistants4.7(3)71 lessonsSampleIlse Vermeulen$7 Building Small Internal Tools with an AI Assistant

Building Small Internal Tools with an AI Assistant

Build simple internal apps, forms and dashboards with AI help that colleagues can safely rely onAll levelsAI automation4.3(3)69 lessonsSampleJude Mensah$5 When Not to Automate

When Not to Automate

Recognise the tasks where automation costs more than it saves or puts people at riskAll levelsAI automation4.7(3)67 lessonsSampleIsabela DuarteFree RAG Explained for Non Engineers

RAG Explained for Non Engineers

Understand how AI assistants answer from company documents, what can go wrong and what to ask your team.All levelsRAG and search4.7(3)66 lessonsSampleEmeka NwosuFree Document and Invoice Processing with AI

Document and Invoice Processing with AI

Turn incoming invoices, receipts and forms into checked, structured records with clear exception handlingIntermediateAI automation4.7(3)65 lessonsSampleHamza Qureshi$8 Automation for Operations Teams

Automation for Operations Teams

Build a shared, well governed set of automations across an operations team instead of scattered one offsAll levelsAI automation4.3(3)65 lessonsSampleHamza Qureshi$6 Evaluating a model after fine tuning

Evaluating a model after fine tuning

Prove a tuned model is actually better, on your task and everywhere else it mattersIntermediateEvaluation and testing4.7(3)65 lessonsSampleNeha Varadan$8 Logging and Tracing LLM Calls

Logging and Tracing LLM Calls

Record every model call and pipeline step so you can explain cost, slowness and bad answers.IntermediateBuilding with LLM APIs4.0(3)65 lessonsSampleFarid Haddad$8 Connecting Tools with the Model Context Protocol

Connecting Tools with the Model Context Protocol

Understand MCP servers and clients well enough to connect, build and secure tools for agentsIntermediateAI agents4.7(3)64 lessonsSampleJamal Haddad$9 Reading and Debugging Agent Traces

Reading and Debugging Agent Traces

Read an agent's step by step record and find where and why a run went wrongIntermediateAI agents4.3(4)64 lessonsSampleIngrid Solberg$8