The fast.ai course: notebooks, slides, and Excel
This repo houses the notebooks, slides, and—unexpectedly—Excel spreadsheets for the 2022 Practical Deep Learning for Coders course.

What it does
This repository is the filing cabinet for the 2022 edition of fast.ai’s Practical Deep Learning for Coders. It stores the full lesson notebooks at the root, a clean folder with the same code stripped of prose and outputs, Excel spreadsheets in xl/, and slide decks in slides/. It is course material, not a library.
The interesting bit
Most open courseware dumps a tangle of narrative notebooks and calls it a day; this repo also provides a clean code-only variant that reads like executable scripts, and it ships Excel spreadsheets as a core part of the material—an unusual choice for a deep learning course.
Key highlights
- Full notebooks in the root, bare code versions in
clean/ - Excel spreadsheets (
xl/) alongside the usual Python material - Slide decks (
slides/) included - Getting-started guide for GitHub Codespaces
- Companion to the lessons at course.fast.ai
Verdict
Useful if you are following the fast.ai course or want to inspect the code without the surrounding essay; skip it if you are looking for a reusable package or framework.
Frequently asked
- What is fastai/course22?
- This repo houses the notebooks, slides, and—unexpectedly—Excel spreadsheets for the 2022 Practical Deep Learning for Coders course.
- Is course22 open source?
- Yes — fastai/course22 is an open-source project tracked on heatdrop.
- What language is course22 written in?
- fastai/course22 is primarily written in Jupyter Notebook.
- How popular is course22?
- fastai/course22 has 3.7k stars on GitHub.
- Where can I find course22?
- fastai/course22 is on GitHub at https://github.com/fastai/course22.