Merge pull request #2142 from madeline-underwood/edge

Edge_JA to sign off

Author: jasonrandrews

content/learning-paths/embedded-and-microcontrollers/edge/_index.md

@@ -1,25 +1,22 @@
 ---
-title: Learn How to Run AI on Edge Devices- Arduino Nano RP2040
-
-draft: true
-cascade:
-    draft: true
+title: Learn how to run AI on Edge devices using Arduino Nano RP2040
 
 minutes_to_complete: 90
 
-who_is_this_for: This learning path is for beginners in Edge AI and TinyML, including developers, engineers, hobbyists, AI/ML enthusiasts, and researchers working with embedded AI and IoT.
+who_is_this_for: This Learning Path is for beginners in Edge AI and TinyML, including developers, engineers, hobbyists, AI/ML enthusiasts, and researchers working with embedded AI and IoT.
 
 learning_objectives:
-    - Understand Edge AI and TinyML basics.
-    - Collect and preprocess audio data using Edge Impulse.
-    - Train and deploy an audio classification model on Arduino Nano RP2040.
-    - Interface with LEDs to switch them on and off.
+  - Understand the basics of Edge AI and TinyML.
+  - Collect and preprocess audio data using Edge Impulse.
+  - Train and deploy an audio classification model on the Arduino Nano RP2040.
+  - Control LEDs by turning them on and off based on model predictions.
 
 prerequisites:
-    - Explore this [learning path](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/arduino-pico/) if you are an absolute beginner.
-    - An [Edge Impulse](https://edgeimpulse.com/) Studio account.
-    - The [Arduino IDE with the RP2040 board support package](https://learn.arm.com/install-guides/arduino-pico/) installed on your computer
-    - An Arduino Nano RP2040 Connect [board](https://store.arduino.cc/products/arduino-nano-rp2040-connect-with-headers?_gl=1*9t4cti*_up*MQ..*_ga*NTA1NTQwNzgxLjE3NDYwMjIyODk.*_ga_NEXN8H46L5*MTc0NjAyMjI4Ny4xLjEuMTc0NjAyMjMxOC4wLjAuMjA3MjA2NTUzMA..).
+  - 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.
+  - An [Arduino Nano RP2040 Connect board](https://store.arduino.cc/products/arduino-nano-rp2040-connect-with-headers).
+
 
 author: Bright Edudzi Gershon Kordorwu
 ### Tags
@@ -38,15 +35,15 @@ operatingsystems:
 
 further_reading:
     - resource:
-        title: TinyML Brings AI to Smallest Arm Devices
+        title: TinyML brings AI to smallest Arm devices
         link: https://newsroom.arm.com/blog/tinyml
         type: blog
     - resource:
-        title: What is edge AI?
+        title: What is Edge AI?
         link: https://docs.edgeimpulse.com/nordic/concepts/edge-ai/what-is-edge-ai
         type: blog
     - resource:
-        title: Edge Impulse for Beginners
+        title: Edge Impulse for beginners
         link: https://docs.edgeimpulse.com/docs/readme/for-beginners
         type: doc
 

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

@@ -1,69 +1,72 @@
 ---
-title: Board Connection and IDE setup
+title: Board connection and IDE setup
 weight: 4
 
 ### FIXED, DO NOT MODIFY
 layout: learningpathall
 ---
 
-### Arduino Nano RP2040
+## Arduino Nano RP2040
 
-To get started with your first **TinyML project**, the **Arduino Nano RP2040 Connect** is a good option. Built by Arduino, it uses the **RP2040 microcontroller** and is fully supported by the Arduino core package. The board comes with built-in Wi-Fi, Bluetooth, and an onboard IMU—features that is useful for deploying machine learning models at the edge.
+To get started with your first **TinyML project**, the **Arduino Nano RP2040 Connect** is a good option. Built by Arduino, it uses the **RP2040 microcontroller** and is fully supported by the Arduino core package. 
+
+
+The board comes with built-in Wi-Fi, Bluetooth, and an onboard IMU. These are features that are useful for deploying machine learning models at the edge.
 
 ![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.).
 
-## Put everything together
+## Connect and set up the Arduino Nano RP2040 Connect
+
+This guide will help you connect the Arduino Nano RP2040 Connect to your computer and set up the Arduino IDE for programming.
 
-### Step 1: Connect the LED to the Arduino Nano RP2040
+## Gather the components
 
-To visualize the output of the voice command model, you will use a simple LED circuit.
+To visualize the output of the voice command model, you'll use a simple LED circuit.
 
-### Components Needed
+You will need the following components:
 
-- Arduino Nano RP2040 Connect
-- 1x LED
-- 1x 220Ω resistor
+- Arduino Nano RP2040 Connect  
+- 1× LED  
+- 1× 220 Ω resistor  
 - Breadboard and jumper wires
 
-#### Circuit Diagram
+## Connect the LED to the Arduino Nano RP2040
 
-- **Anode (long leg) of the LED** → Connect to **GPIO pin D2** via the 220Ω resistor
-- **Cathode (short leg)** → Connect to **GND**
+- **Anode (long leg) of the LED** → connect to **GPIO pin D2** through a 220 Ω resistor  
+- **Cathode (short leg)** → connect to **GND**
 
-![example image alt-text#center](images/led_connection.png "Figure 14. Circuit Connection")
+![Diagram showing the physical breadboard circuit connecting an LED to GPIO D2 and GND on the Arduino Nano RP2040 alt-text#center](images/led_connection.png)
 
-![example image alt-text#center](images/led_connection_schematic.png "Figure 15. Circuit Schematic Connection")
+![Schematic diagram showing the LED connected between GPIO D2 and GND with a 220 Ω resistor in series alt-text#center](images/led_connection_schematic.png)
 
-### Step 2: Set Up the Arduino IDEs
+## Set up the Arduino IDE
 
 To program and deploy your trained model to the Arduino Nano RP2040, you first need to configure your development environment.
 
-Follow the detailed setup instructions provided 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](https://learn.arm.com/install-guides/arduino-pico/).
 
-This guide will walk you through:
+This guide walks you through:
 
-- Installing the Arduino IDE
+- Installing the Arduino IDE  
 - Adding the board support package for the Nano RP2040
 
-{{% notice Note %}}
-**Note:** Follow every instruction in the guide **except** `How do I set up the Raspberry Pi Pico W?`, as it is not needed for this project.
-{{% /notice %}}
+{{< notice Note >}}
+Follow all steps in the guide except *How do I set up the Raspberry Pi Pico W?*, which is not required for this project.
+{{< /notice >}}
 
-### Step 3: Select Your Board and Port in the Arduino IDE
+## Select your board and port in the Arduino IDE
 
-First, open the **Arduino IDE**.
+Open the Arduino IDE. To select your board:
 
-To select your board:
-
-1. Go to **Tools** > **Board**.
-2. From the list, choose **Arduino Nano RP2040 Connect**.
+Go to **Tools** > **Board** then select **Arduino Nano RP2040 Connect**
 
 To select your port:
 
-1. Connect your Arduino board to your computer using a USB cable.
-2. Go to **Tools** > **Port**.
-3. Select the port labeled with your board’s name, e.g., `COM4 (Arduino Nano RP2040 Connect)` or `/dev/cu.usbmodem...` on macOS.
+Connect your board to your computer using a USB cable, then follow these steps:  
+
+- Go to **Tools** > **Port**  
+- Select the port labeled with your board's name, such as `COM4 (Arduino Nano RP2040 Connect)` or `/dev/cu.usbmodem...` on macOS.
 
-*Your Arduino IDE is now ready to upload code to the Arduino Nano RP2040.*
+Your Arduino IDE is now ready to upload code to the Arduino Nano RP2040.