"Practical Deep Learning for Coders 2022" is a course that covers topics such as building and training deep learning models, deploying models, and using PyTorch and other popular libraries. The course is led by Jeremy Howard, who has extensive experience in machine learning and has created companies that utilize deep learning. The course is suitable for those with at least a year of coding experience and a high school math background. Students will learn how to train models for computer vision, natural language processing, tabular data analysis, and collaborative filtering, and will also learn about the latest deep learning techniques.

The fastai book, published as Jupyter Notebooks, provides an introduction to deep learning, fastai, and PyTorch. It is copyright Jeremy Howard and Sylvain Gugger, and a selection of chapters is available to read online. The notebooks in the repository are used for a MOOC and form the basis of the book, which is available for purchase. The code in the notebooks is covered by the GPL v3 license, while the other content is not licensed for redistribution or change. It is recommended to use Google Colab to access and work with the notebooks. If there are any contributions or citations, copyright is assigned to Jeremy Howard and Sylvain Gugger.