Description

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!

Requirements

Basic knowledge of programming (preferably in Python or C++)

Familiarity with microcontrollers and sensors

A computer with internet access

Wio Terminal device

Various sensors (light sensor, accelerometer, microphone, ultrasonic sensor, BME280)

Who This Course is For

Enthusiasts interested in Tiny Machine Learning (TinyML)

Students and hobbyists looking to implement machine learning on small devices

Developers aiming to expand their knowledge in microcontroller-based projects

Beginners in machine learning and microcontrollers seeking hands-on projects