- 1. Introduction to the Course 12m 25s
- 2. Project I: Theory & Data Collection for Light Sensor Gesture Recognition 5m 14s
- 3. Project I: Model Training & Deployment for Light Sensor Gesture Recognition 9m 20s
- 4. Project I: Practical Session Part 1 13m 57s
- 5. Project I: Practical Session Part 2 13m 40s
- 6. Project II: Theory & Data Collection for Hand Gesture Classification Using Accelerometer 6m 9s
- 7. Project II: Model Training & Deployment for Hand Gesture Classification Using Accelerometer 10m 54s
- 8. Project III: Theory & Data Collection for Audio Scene Recognition Using Microphone 9m 10s
- 9. Project III: Model Training & Deployment for Audio Scene Recognition Using Microphone 10m 18s
- 10. Project IV: Theory & Data Collection for People Counting Using Ultrasonic Sensor 5m 23s
- 11. Project IV: Model Training & Deployment for People Counting Using Ultrasonic Sensor 14m 36s
- 12. Project V: Theory & Data Collection for Intelligent Meteostation Using BME280 5m 55s
- 13. Project V: Model Training & Deployment for Intelligent Meteostation Using BME280 6m 48s
- 14. Student Project Showcase 5m 58s
TinyML with Wio Terminal
About this course
Introduction
Welcome to the TinyML with Wio Terminal course!
In this course, you will explore the fascinating world of Tiny Machine Learning (TinyML) using the Wio Terminal. The Wio Terminal, a powerful and versatile microcontroller, provides the perfect platform for implementing TinyML projects that can run machine learning models on small devices.
Throughout this course, you will learn how to:
- Recognize gestures using light sensors.
- Classify hand gestures with accelerometers.
- Perform audio scene recognition using microphones.
- Count people using ultrasonic sensors.
- Build an intelligent meteostation with the BME280 sensor.
This course is structured into several hands-on projects, each focusing on different sensors and machine learning techniques. You'll begin with an introduction to TinyML and the Wio Terminal, followed by detailed theoretical and practical sessions for each project. By the end of this course, you will be equipped with the skills and knowledge to create your own TinyML applications on the Wio Terminal.
Whether you're a beginner or have some experience in machine learning and microcontrollers, this course is designed to guide you step-by-step to master the concepts of TinyML.
So let's get started on this exciting journey of bringing machine learning to tiny devices!
What you'll learn
- Introduction
- Welcome to the TinyML with Wio Terminal course!
- In this course, you will explore the fascinating world of Tiny Machine Learning (TinyML) using the Wio Terminal.
- The Wio Terminal, a powerful and versatile microcontroller, provides the perfect platform for implementing TinyML projects that can run machine learning models on small devices.
Curriculum
14 Lessons • 2H 9M
- 0.00 instructor rating
- 1 courses
- Systems students worldwide
Ashraf S.A Almadhoun
Learn from DragonZap instructors with practical, build-first lessons focused on systems, low-level programming, compilers, kernels, and real-world engineering fundamentals.
Student reviews
No student reviews have been posted yet.