This course is a deep dive into efficient machine learning techniques that enable powerful deep learning applications on resource-constrained devices.

At the end of the course, students will have learned the following:

• Practical experience through hands-on project assignments
• Gained familiarity with cutting-edge literature and frameworks in the field of TinyML
• Know how to train and deploy models on microcontrollers
• Conceived and developed a (novel) TinyML application running on a MCU

Prerequisites: We expect students to bring knowledge of C programming for embedded systems and also suggest having some knowledge of machine learning, in particular deep neural networks.