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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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7 tutors

Fine tuning and training Intermediate Clear all

Instruction tuning a base model

Instruction tuning a base model

Turn a base model that only continues text into one that follows instructions in a reliable formatIntermediateFine tuning and training4.0(3)75 lessonsSampleNeha Varadan$9 LoRA and parameter efficient fine tuning

LoRA and parameter efficient fine tuning

Fine tune large models on modest hardware by training small low rank adapters instead of every weightIntermediateFine tuning and training4.7(3)66 lessonsSampleNeha Varadan$9 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 Planning the cost of a training run

Planning the cost of a training run

Estimate compute, time, memory and budget for a training or fine tuning run before you spendAll levelsFine tuning and training4.3(3)65 lessonsSampleMagnus Eriksen$7 Fine tune, prompt or retrieve?

Fine tune, prompt or retrieve?

Choose between prompting, retrieval and fine tuning for your problem, and know whyAll levelsFine tuning and training4.7(3)59 lessonsSampleNeha VaradanFree Quantisation: smaller, faster models

Quantisation: smaller, faster models

Shrink models with lower precision numbers and measure exactly what quality you trade awayIntermediateFine tuning and training4.3(3)49 lessonsSampleMagnus Eriksen$9 Synthetic data for training, used with care

Synthetic data for training, used with care

Generate training data with models where it helps, and filter, verify and document it properlyAll levelsFine tuning and trainingNewNeha Varadan$7