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Final check of Edge Impulse Learning Path
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content/learning-paths/embedded-and-microcontrollers/edge/_index.md

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- Control LEDs by turning them on and off based on model predictions.
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prerequisites:
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- Completion of this [Learning Path](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/arduino-pico/) if you're an absolute beginner.
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- An [Edge Impulse](https://edgeimpulse.com/) Studio account.
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- The [Arduino IDE](https://learn.arm.com/install-guides/arduino-pico/) with the RP2040 board support package installed on your computer.
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- 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.
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- An [Edge Impulse Studio](https://studio.edgeimpulse.com/signup) account.
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- The [Arduino IDE](/install-guides/arduino-pico/) with the RP2040 board support package installed on your computer.
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- An [Arduino Nano RP2040 Connect board](https://store.arduino.cc/products/arduino-nano-rp2040-connect-with-headers).
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author: Bright Edudzi Gershon Kordorwu
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### Tags
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skilllevels: Introductory

content/learning-paths/embedded-and-microcontrollers/edge/connect-and-set-up-arduino.md

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![example image alt-text#center](images/nano.png "Arduino Nano RP2040")
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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.).
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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.).
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## 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.
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Follow the steps in the [Arduino Nano RP2040 install guide](https://learn.arm.com/install-guides/arduino-pico/).
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Follow the steps in the [Arduino Nano RP2040 install guide](/install-guides/arduino-pico/).
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This guide walks you through:
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content/learning-paths/embedded-and-microcontrollers/edge/overview.md

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

content/learning-paths/embedded-and-microcontrollers/edge/program-and-deployment.md

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## Upload the Arduino library from Edge Impulse
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* After creating and saving your sketch, go to **Sketch** > **Include Library** > **Add .ZIP Library**
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* 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/)
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* In the file dialog that opens, navigate to the location of the ZIP file you exported from Edge Impulse.
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* Select the ZIP file and click **Open**
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* The Arduino IDE will automatically install the library and any dependencies it requires.
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