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Tiny Machine Learning Kit – Build Real TinyML Projects Easily
Arduino Tiny Machine Learning Kit works perfectly with the TinyML Applications and Deploying TinyML on Microcontrollers courses in the TinyML Specialization on EdX. Together, they give you the tools you need to start creating your own machine learning projects.
Bring Edge AI to Small Devices
The kit features the Arduino Nano 33 BLE Sense*. This compact board includes many built-in sensors. It can detect movement, acceleration, rotation, and barometric pressure. It also senses sound, gestures, proximity, color, and light intensity.
You also get an OV7675 camera module and an Arduino Tiny Machine Learning Shield. These parts make it simple to attach components and test ideas. You can create image-based projects or work with sensor data in just a few steps.
The kit supports TensorFlow Lite Micro, so you can deploy classical ML models and deep neural networks on the microcontroller. This allows real-time intelligence on small, low-power hardware. Your creativity defines what you build.
“The future of Machine Learning is tiny and bright. We’re excited to see what you’ll do!”
— Prof. Vijay Janapa Reddi, Harvard University & Pete Warden, Google
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