PyTorch for LLMs: Build GPT from Scratch is a hands-on course that takes you from an empty file to a working language model you’ve written and trained yourself. It’s built for developers, students, and anyone who uses AI tools and wants to understand what’s actually happening inside them — no machine-learning background required.
Over the course you go from the single idea a language model rests on — predicting the next token — to a small but complete GPT, the same architecture behind today’s large models, running and training on your own machine. Every part is written by hand in PyTorch, so by the end nothing about it stays a black box.
The course opens with foundations. You set up Python and PyTorch and cover the groundwork the rest of the course leans on: the vectors and matrix multiplication behind every layer, the small amount of probability and logarithms that show up in training, and a plain-language look at how a neural network actually learns. Nothing is assumed; each idea is introduced right before it’s needed.
