Section Intro

Introduction 

Project 1 Recognizing Gestures With Light Sensor Theory And Data Colle

Code

Lesson 1 Practical

Gesture Recognition with Light Sensors

Project 1 Recognizing Gesture With Light Sensor Model Training And Depl

Lesson 1 Practical Continue

Practical

Project II Classifying Hand Gesture With Accelerometer Theory And Data

Project II Classifying Hand Gesture With Accelerometer Model Training A

Recognizing and Classifying Gestures Using Sensors

Project III Audio Scene Recognition With Microphone Theory And Data Col

Project III Audio scene Recognition with Microphone Model and Training

Project IV People Counting With Ultrasonic sensor Theory and Data Colle

Project IV People Counting With Ultrasonic Sensor Model Training and De

Understanding Audio Scene Recognition and People Counting Models

Project V Intelligent Meteostation With BME280 Theory and Data Collect

Project V Intelligent Meteostation With BME280 Model Training and Depl

Student Project

Understanding Weather Monitoring with BME280 and Project Development

Exploring Gesture Recognition and Sensor-Based Projects

Summary

Reading Material

TinyML with Wio Terminal Practice Test

Practice Test 

Who we are?

Course Project

Bonus Lecture 

Bonus 

<h2 id="0badd111-4bfc-42b1-9a68-fd677aed854d" data-toc-id="0badd111-4bfc-42b1-9a68-fd677aed854d">Requirements</h2><ul><li>You need to buy the Wio Terminal if you want to apply the practical experiments</li><li>No prior coding experience needed</li><li>Hardware (board, modules)</li><li>Arduino IDE</li><li>willingness to learn</li><li>No prior knowledge required</li><li>Software(possible platform or language)</li></ul><h2 id="fde240ec-0c9b-4bd8-b40c-0bdcba993bcd" data-toc-id="fde240ec-0c9b-4bd8-b40c-0bdcba993bcd">Description</h2>Introduction: In this course, you'll be taken through a thorough introduction to how to use TinyML. The timeline is flexible to suit your needs. This course is designed to give students a working knowledge of TinyML, a powerful tool for managing small-scale machine learning projects. The course begins with an introduction to the basics of machine learning, including supervised and unsupervised learning algorithms. Next, students will learn how to use the Wio Terminal, a device that makes it easy to interface with sensors and other hardware. Finally, students will put their knowledge to the test by completing a series of hands-on projects.Why You Should Take This Course: Are you interested in machine learning and want to learn more about it and expand your knowledge in this area? This course will teach you how TinyML brings everything together in one place, providing you with better control over your data sets. TinyML is a revolutionary AI-powered tool that helps you make better decisions. By the end of this course, you'll be able to identify the best possible option for any task you need to complete quickly. TinyML can save you hours of work.What is TinyML? TinyML refers to machine learning models that are optimized to run on low-power, small-footprint devices like MCUs. TinyML is cost-effective, allowing more individuals to train their models. Compatible with Arduino, Raspberry Pi, and other IoT devices, TinyML is the only platform that lets you know when you're making a mistake.What is Wio Terminal? Wio Terminal is a device that makes it easy to interface with sensors and other hardware. It's a desktop application for quickly publishing your site without needing any knowledge of programming languages. You'll learn the basics of creating websites and interfacing with hardware.What You Will Learn in This Course:<ul><li>Learn with practical exercises that are relevant to your specific work environment</li><li>Master the fundamentals of machine learning to become a valuable asset in any organization</li><li>Learn the basics of Machine Learning, Neural Networks, and Deep Learning</li><li>Gain an understanding of the principles of neural networks, deep learning, and more</li></ul>Course Highlights:<ul><li>You will learn about the codebase, understand all of the parameters, and improve your understanding of machine learning by programming your own models.</li><li>Customizing your learning experience to be specific to your needs</li><li>Develop your own AI model</li><li>Build an end-to-end deep learning project</li></ul>Try It Now! Get started with the Wio Terminal course and save time by identifying the best possible option every time!Course Features:<ul><li>Step-by-step video lessons</li><li>Hands-on projects to test your knowledge</li><li>Practical demonstrations and examples</li><li>Interactive exercises and quizzes</li><li>Ongoing support and engagement through discussion forums</li><li>Bonus resources and downloadable guides</li></ul>Who Is This Course For:<ul><li>Beginners in machine learning</li><li>IoT enthusiasts</li><li>Hobbyists and tinkerers</li><li>STEM students and educators</li><li>Anyone interested in understanding and creating machine learning models</li></ul>Requirements:<ul><li>No prior knowledge of machine learning required</li><li>A willingness to learn and experiment</li></ul>About the Instructor: Educational Engineering TeamThe Educational Engineering Team is dedicated to providing high-quality education in the field of electronics and engineering. With a wealth of experience and a passion for teaching, the team ensures that complex concepts are broken down into easy-to-understand lessons, making learning accessible and enjoyable for everyone.<h2 id="5e8f1cda-0e34-43a4-9cfb-dea269c92e5c" data-toc-id="5e8f1cda-0e34-43a4-9cfb-dea269c92e5c">Who this course is for:</h2><ul><li>This course is designed for beginners who want to learn more about machine learning.</li><li>The course is designed for anyone who would like to learn some basic programming skills.</li><li>This course is perfect for anyone wanting to get started in Machine Learning!</li><li>It is also good for people who want to get more out of their smartphone by taking advantage of things they plug into their computer.</li></ul>

TinyML is a program for machine learning (ML) and in this course we will help you start learning ML in a step-by-step wa

TinyML with Wio Terminal

Ashraf Said

Course content

Course Description

This Course Includes