Arduino Tiny Machine Learning Kit
The Tiny Machine Learning Kit, combined with the exciting TinyML Applications and Deploying TinyML on Microcontrollers courses that are part of the Tiny Machine Learning (TinyML) specialization from EdX will equip you with all the tools you need to bring your ML visions to life!
The kit consists of a powerful board equipped with a microcontroller and a wide variety of sensors (Arduino Nano 33 BLE Sense*). The board can sense movement, acceleration, rotation, barometric pressure, sounds, gestures, proximity, color, and light intensity. The kit also includes a camera module (OV7675) and custom Arduino shield to make it easy to attach your components and create your very own unique TinyML project. You will be able to explore practical ML use cases using classical algorithms as well as deep neural networks powered by TensorFlow Lite Micro. The possibilities are limited only by your imagination!
Age: 18+
Recommended number of students per kit: 1
Available languages: English
The Tiny Machine Learning Kit includes:
- 1 Arduino Nano 33 BLE Sense board
- 1 OV7675 Camera
- 1 Arduino Tiny Machine Learning Shield
- 1 USB A to Micro USB Cable
Software:
- TensorFlow™ Lite for Microcontrollers to run machine learning models on microcontrollers
- Arduino IDE, including a library available for TensorFlow™ Lite with four examples showing how to run speech, accelerometer, and image machine learning on a microcontroller.
Online learning content:
- A Professional Certificate program is offered by Harvard University and Google TensorFlow™.
- Students will learn about the emerging field of Tiny Machine Learning, its real-world applications, and the future possibilities of this transformative technology.
The program is divided into 3 courses:
- Fundamentals of TinyML and deep learning
- Applications of TinyML
- Deploying TinyML