Diploma in Model Compression and Inference in MCU/NPUs

The Diploma in Understanding Models and Inference in MCUs/NPUs focuses on developing specialized skills in the use of microcontrollers (MCUs) and neural processing units (NPUs) for the creation and optimization of machine learning models. The program addresses the efficient implementation of artificial intelligence algorithms in low-power devices, exploring inference and model optimization techniques for edge computing applications, such as signal analysis, image processing, and computer vision. Participants will gain hands-on experience in the design and development of embedded AI solutions, including the use of cross-compilation, debugging, and profiling tools. Development platforms and libraries specific to MCUs and NPUs, such as TensorFlow Lite and PyTorch Mobile, will be explored, with a focus on reducing latency and power consumption. The training prepares professionals for roles such as embedded AI engineers, vision systems developers, and data scientists, strengthening employability in sectors such as robotics, automotive, and the IoT industry.

Target keywords (natural in the text): MCUs, NPUs, machine learning, inference, edge computing, embedded AI, TensorFlow Lite, PyTorch Mobile, computer vision, AI diploma.