:::danger The code used in this Lab is in the github repository  To run the example in this Lab you'll need to install some software, basically Python3 and Docker... Option 1: You can use a virtual machine that you can download here You have to use VirtualBox with the option: "Files / Import virtualized service". The VM has user "docker" with password "docker" Option 2 (for the Docker part):

Based on: https://github.com/tinyMLx/courseware https://blog.tensorflow.org/2019/11/how-to-get-started-with-machine.html :::info The code used in this Lab is in the github repository  ::: In this lab we will see two practical example using TinyML with two different platforms.

Edge Impulse is the leading development platform for machine learning on edge devices. It is for developers but also used by enterprises. It allows to cover all the phases in a ML base IoT project, from training to deployment: Currently it can handle the following hardware:  With different development boards, data can be collected using the Data forwarder or the Edge Impulse for Linux SDK, and deploy the model back to the device with the Running your impulse locally tutorials. You can also use your Mobile phone.