Deploying ML models on mobile devices has become common place, but how about deploying them to tiny microcontrollers that can run on a battery? This workshop will teach participants how to process sound files and train a model, then optimize the models for deployment using TensorFlow Lite for Microcontrollers, and then finally show them how to deploy the model in a feat of embedded programming. This session will require a working knowledge of the C and Python programming languages.