EE292D is a ten week at Stanford class focused on running machine learning on edge devices. We're using Raspberry Pi 5 boards as our standard platform, and we teach students how to run vision, audio, and large language models locally, with no cloud connection (or charges). No prior knowledge of ML or programming is required.
We aim to make the lab assignments for this class as accessible as possible, so we're open sourcing all the code and documentation. If you want to learn how to run these models on a Pi yourself, here are links to the lab instructions: