The TinyML with Wio Terminal course is designed to provide you with a comprehensive understanding of Tiny Machine Learning (TinyML) and its practical applications using the Wio Terminal platform. In this course, you will be introduced to the exciting world of TinyML and its potential to enable machine learning on resource-constrained devices. You will learn the fundamental concepts and principles behind TinyML, exploring its benefits and challenges.
Through a series of hands-on projects, you will gain practical experience in developing TinyML applications using the Wio Terminal, an all-in-one microcontroller with built-in sensors and display. You will delve into various topics such as recognizing gestures with the light sensor, classifying hand gestures with the accelerometer, audio scene recognition with the microphone, people counting with the ultrasonic sensor, and building an intelligent meteostation with the BME280 sensor.
Throughout the course, you will learn the theory behind each project and collect relevant data for training your TinyML models. You will discover how to train and deploy these models on the Wio Terminal, enabling real-time inference for various applications. By the end of this course, you will have developed a solid foundation in TinyML and gained the skills to build your own intelligent applications on resource-constrained devices. Whether you are a student, hobbyist, or professional, this course will empower you to harness the power of TinyML and unleash its potential in the world of Internet of Things (IoT) and edge computing.
What Will You Learn?
- Students and enthusiasts interested in learning about Tiny Machine Learning (TinyML) and its practical applications.
- IoT developers looking to incorporate machine learning capabilities into resource-constrained devices.
- Hobbyists and makers interested in building intelligent applications using the Wio Terminal platform.
- Professionals in the fields of embedded systems, IoT, and edge computing seeking to enhance their skills in TinyML development.
- Individuals with a basic understanding of programming and electronics who want to explore the intersection of machine learning and IoT.
- Engineers and researchers looking to leverage the power of TinyML for edge intelligence and real-time inference.
Who Should Take The Course?
- Students interested in exploring the field of Tiny Machine Learning (TinyML) and its practical applications.
- IoT developers aiming to integrate machine learning capabilities into resource-constrained devices.
- Hobbyists and makers looking to create intelligent applications using the Wio Terminal platform.
- Professionals in embedded systems, IoT, and edge computing seeking to enhance their skills in TinyML development.
- Individuals with a basic understanding of programming and electronics, curious about the intersection of machine learning and IoT.
- Engineers and researchers interested in leveraging TinyML for edge intelligence and real-time inference.
Course Features
- Lectures 15
- Quiz 0
- Duration 2h 10m
- Skill level All levels
- Language English
- Students 0
- Certificate Yes
- Assessments Self