10 Free Certification Courses from Harvard University
4. Applications of TinyML
Course description: Have you ever wondered what happens when you say “OK Google” to a Google device and if it is always listening? Applications of TinyML is a course following the Foundations of Tiny ML which gives you an opportunity to see tiny machine learning applications in practice. This course includes real-world case studies guided by industry leaders that explore deployment challenges on tiny or deeply embedded devices.
You will dive into the code for using sensor data for tasks such as gesture detection and voice recognition. The focus will be on the neural network of the applications, specifically on training and inference. You will also review the code behind “OK Google,” “Alexa,” and smartphone features on Android and Apple.
You will learn about real-world industry applications of TinyML as well as Keyword Spotting, Visual Wake Words, Anomaly Detection, Dataset Engineering, and Responsible Artificial Intelligence.
Tiny Machine Learning (TinyML) is one of the rapidly growing areas of deep learning, and it is becoming more accessible than ever. The second course in the TinyML Professional Certificate program, Applications of TinyML, shows you the code behind some of the world’s most widely used TinyML devices. Course link
| DURATION | 5 weeks long |
| TIME COMMITMENT | 2 – 4 hours per week |
| PACE | Self-paced |
| SUBJECT | Computer Science |
| COURSE LANGUAGE | English |
| VIDEO TRANSCRIPT | English |
| DIFFICULTY | Intermediate |
| CREDIT | Audit for Free Add a Verified Certificate for $299 |
| PLATFORM | edX |
What you’ll learn
- The code behind some of the most widely used applications of TinyML
- Real-word industry applications of TinyML
- Principles of Keyword Spotting and Visual Wake Words
- Concept of Anomaly Detection
- Principles of Dataset Engineering
- Responsible AI Development