This course focuses on the practical application of Tiny Machine Learning (TinyML) at scale, emphasizing how to integrate machine learning into embedded devices. Participants can expect to explore efficient techniques for running machine learning models on minimal hardware, which is increasingly relevant in today’s technology landscape.
What you'll learn
understanding of TinyML concepts
skills to implement machine learning on edge devices
knowledge of optimizing models for performance on low-power hardware