Language Model from Scratch with Python” is a practical, code-focused tutorial designed to help learners understand how modern language models are built by implementing simplified versions from the ground up. It is ideal for learners who already know basic Python and want to move into AI and deep learning.

The tutorial begins with the fundamentals of language modeling, explaining how models learn to predict the next word or token in a sequence. This forms the foundation of all large language models.

It then introduces data preparation and tokenization, showing how raw text is converted into structured numerical data that a model can process. Learners also explore how embeddings represent words as dense vectors in a high-dimensional space.

A key section of the course focuses on building simplified transformer components, including attention mechanisms, which allow models to