This exciting Professional Certificate program is offered by Harvard University, Google TensorFlow. You will learn all about Tiny Machine Learning (TinyML), the real-world applications and the future potential of this transformative technology.
TinyML, a cutting-edge field, brings machine learning (ML), to tiny devices and embedded systems. This field requires a deep understanding of algorithms, software, hardware, and applications to be successful.
Fundamentals of TinyML is the first course in the series. It will cover fundamentals of deep and machine learning. This course will help you understand the language of tiny-scale machine learning. Because of the limitations of small devices' energy and memory, this course goes beyond traditional machine learning tools. The second course, Applications of TinyML dives into a variety of applications. You will learn how voice recognition works on small devices, and also see and implement common algorithms like neural networks.
The third course, Deploying TinyML will teach you how to use open-source hardware and prototyping platforms to create your tiny device. The program features projects that are based on the Arduino board–”TinyML Program Kit–”the program emphasizes hands-on training and deployment of machine learning into tiny embedded devices. TinyML Program Kit contains everything you need to unleash your imagination and create applications that use image recognition, audio processing and gesture detection. You'll soon be creating a tiny machine learning application.
This series will teach you how Python (Lite/Micro), the Python programming language, is used to power these devices. It also covers important topics related to responsible design of Artificial Intelligence Systems. These online courses are the first to combine engineering, data science, and computer science. They also feature real-world case studies that show how TinyML deployments can be challenging.
This program was developed in collaboration with Harvard–tm's John A. Paulson school of Engineering and Applied Sciences and the TensorFlow team. This course is taught by Vijay Janapa Reddi from Harvard, Laurence Moroney, Google's Lead AI Advocate, and Pete Warden, the Technical Lead for Google’, TensorFlow, and Micro teams. It offers you an unparalleled opportunity to learn from experts in the AI/machine learning space.
