Throughout the book, we will not only introduce machine learning methods from a theoretical perspective, but we will also implement them on embeddedEmbedded systems. Therefore, the reader should become familiar with the hardware to be used. This chapter aims to introduce these concepts. To do so, we will assume a novice user as our target. Besides, we will cover all hardware topics as abstract as possible. Hence, they can give insight on similar platforms. As for embedded hardware, we pick the Arduino Nano33 BLE Sense Rev2 board (Nano33 board)Nano33 board with Nordic Semiconductor nRF52840 SoC (nRF microcontroller)NRF microcontroller on it. We will explain details of the board and its processing unit (as microcontroller) in this chapter. Afterward, we will introduce the sensors to be used throughout the book. As all the hardware is introduced, we will be ready to use them in practical machine learning applications in solving real-life problems.