A five-day course covering AI and machine learning for microcontroller-based embedded software development. Topics include an overview of AI/ML for embedded systems, using ChatGPT to write embedded code (HALs, drivers, debugging), selecting ML tools for resource-constrained devices, training models using the STM32 ecosystem, and deploying ML inference to embedded targets.
Table of contents
Day 1: AI and ML for MicrocontrollersDay 2: Writing Embedded Software with ChatGPT and Open.AIDay 3: Tools for Machine Learning in MicrocontrollersDay 4: Training a Model for the STM32Day 5: Deploying Machine Learning ModelsJacob’s General Embedded Software ResourcesAdditional Course Resources1 Impression