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Expand Up @@ -12,12 +12,11 @@ learning_objectives:
- Control LEDs by turning them on and off based on model predictions.

prerequisites:
- Completion of this [Learning Path](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/arduino-pico/) if you're an absolute beginner.
- An [Edge Impulse](https://edgeimpulse.com/) Studio account.
- The [Arduino IDE](https://learn.arm.com/install-guides/arduino-pico/) with the RP2040 board support package installed on your computer.
- Completion of [Embedded programming with Arduino on the Raspberry Pi Pico](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/arduino-pico/) if you're an absolute beginner.
- An [Edge Impulse Studio](https://studio.edgeimpulse.com/signup) account.
- The [Arduino IDE](/install-guides/arduino-pico/) with the RP2040 board support package installed on your computer.
- An [Arduino Nano RP2040 Connect board](https://store.arduino.cc/products/arduino-nano-rp2040-connect-with-headers).


author: Bright Edudzi Gershon Kordorwu
### Tags
skilllevels: Introductory
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Expand Up @@ -15,7 +15,7 @@ The board comes with built-in Wi-Fi, Bluetooth, and an onboard IMU. These are fe

![example image alt-text#center](images/nano.png "Arduino Nano RP2040")

Its compatibility with popular tools like Edge Impulse and the Arduino IDE makes it a suitable choice for TinyML applications. You can learn more about the Arduino Nano RP2040 Connect on the [official Arduino website](https://store.arduino.cc/products/arduino-nano-rp2040-connect-with-headers?_gl=1*1laabar*_up*MQ..*_ga*MTk1Nzk5OTUwMS4xNzQ2NTc2NTI4*_ga_NEXN8H46L5*czE3NDY1NzY1MjUkbzEkZzEkdDE3NDY1NzY5NTkkajAkbDAkaDE1MDk0MDg0ODc.).
Its compatibility with popular tools like Edge Impulse and the Arduino IDE makes it a suitable choice for TinyML applications. You can learn more about the Arduino Nano RP2040 Connect on the [Arduino website](https://store.arduino.cc/products/arduino-nano-rp2040-connect-with-headers?_gl=1*1laabar*_up*MQ..*_ga*MTk1Nzk5OTUwMS4xNzQ2NTc2NTI4*_ga_NEXN8H46L5*czE3NDY1NzY1MjUkbzEkZzEkdDE3NDY1NzY5NTkkajAkbDAkaDE1MDk0MDg0ODc.).

## Connect and set up the Arduino Nano RP2040 Connect

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To program and deploy your trained model to the Arduino Nano RP2040, you first need to configure your development environment.

Follow the steps in the [Arduino Nano RP2040 install guide](https://learn.arm.com/install-guides/arduino-pico/).
Follow the steps in the [Arduino Nano RP2040 install guide](/install-guides/arduino-pico/).

This guide walks you through:

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Expand Up @@ -7,7 +7,7 @@ layout: learningpathall
---

{{< notice Note >}}
This section introduces the key concepts that form the foundation of this Learning Path. Review it before starting this Learning Path.
This section introduces the key concepts that form the foundation of Edge AI. Review it before starting this Learning Path.
{{< /notice >}}

# Edge AI
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Expand Up @@ -31,7 +31,7 @@ Make sure to save it in a location where you can easily find it later, such as y
## Upload the Arduino library from Edge Impulse

* After creating and saving your sketch, go to **Sketch** > **Include Library** > **Add .ZIP Library**
* In the file dialog that opens, navigate to the location of the ZIP file you exported from Edge Impulse in [Set up your environment](/learning-paths/embedded-and-microcontrollers/edge/software-edge-impulse/)
* In the file dialog that opens, navigate to the location of the ZIP file you exported from Edge Impulse.
* Select the ZIP file and click **Open**
* The Arduino IDE will automatically install the library and any dependencies it requires.

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