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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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657 tutors

Becoming an LLM Application Engineer

Becoming an LLM Application Engineer

Learn what LLM application engineers do and build the skills and evidence to move into the roleIntermediateAI careers4.7(3)45 lessonsSampleYohannes Tesfaye$8 Hypothesis Tests and P Values Done Right

Hypothesis Tests and P Values Done Right

Run tests, read p values correctly and report effects that actually matterIntermediateData science and statistics4.7(3)45 lessonsSampleLina Khoury$7 Support Vector Machines Explained

Support Vector Machines Explained

See margins, support vectors and kernels clearly, then tune C and gamma with confidenceIntermediateMachine learning4.5(2)45 lessonsSampleKavya Raman$7 Safe use of AI at work: a staff guide

Safe use of AI at work: a staff guide

Use AI at work without leaking data, misleading anyone or breaking your organisation's rulesBeginnerAI safety and ethics4.7(3)45 lessonsSampleAlejandra RuizFree Writing Sales Proposals With AI

Writing Sales Proposals With AI

Turn discovery notes into a clear proposal the buyer can share internally, checked line by lineIntermediateAI for marketing and sales4.7(3)44 lessonsSampleSantiago Ferreira$7 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 Autoencoders and latent spaces

Autoencoders and latent spaces

Learn how networks compress data into a small code and rebuild it, and what that code is good forBeginnerDeep learning4.5(2)44 lessonsSampleMateo Rojas$5 Reliable Document Summarisation Pipelines

Reliable Document Summarisation Pipelines

Build summarisation that handles long documents, keeps facts straight and can be checked against the source.IntermediateBuilding with LLM APIs4.3(3)44 lessonsSampleGreta Lindqvist$7 Data augmentation for vision

Data augmentation for vision

Choose image augmentations that reflect real variation, keep labels correct and improve generalisationBeginnerComputer vision4.0(3)44 lessonsSampleNoor Siddiqui$4 Diffusion models from noise to sample

Diffusion models from noise to sample

Understand how diffusion models learn to remove noise and how guidance and latents shape the resultAdvancedDeep learning4.7(3)44 lessonsSampleMateo Rojas$12 Spreadsheets as an Automation Backend

Spreadsheets as an Automation Backend

Design a spreadsheet that automations can read and write reliably without breakingBeginnerAI automation4.5(2)44 lessonsSampleIsabela Duarte$5 Using Agentic Features in Everyday Assistants

Using Agentic Features in Everyday Assistants

Get real value from research modes, task modes and connected apps in the assistants you already useBeginnerAI agents4.0(3)44 lessonsSampleJamal HaddadFree