Arduino Tiny Machine Learning Kit

The Tiny Machine Learning Kit, along with the engaging TinyML Applications and Deploying TinyML on Microcontrollers courses from the TinyML specialization on EdX, provides everything needed to bring your machine learning projects to life. The kit includes a powerful board, the Arduino Nano 33 BLE Sense*, equipped with a microcontroller and a diverse range of sensors to detect movement, acceleration, rotation, barometric pressure, sounds, gestures, proximity, color, and light intensity. Additionally, the kit comes with a camera module (OV7675) and a custom Arduino shield, making it easy to assemble components and build unique TinyML projects.

With this kit, you can explore practical machine learning applications using classical algorithms and deep neural networks powered by TensorFlow Lite Micro. Your creative possibilities are vast with this setup.

*Note: To restock this kit, the Nano 33 BLE Sense has been updated to exclude the HTS221 sensor (temperature and humidity). This change does not impact the kit’s functionality or the user experience, and the board remains fully compatible with the kit’s documentation.