Final edits

Author: dominica-of

content/learning-paths/microcontrollers/introduction-to-tinyml-on-arm/Connect.png

@@ -42,6 +42,8 @@ tools_software_languages:
     - Executorch
     - Arm Compute Library 
     - GCC
+    - Edge Impulse
+    - Nodejs
 
 ### FIXED, DO NOT MODIFY
 # ================================================================================

content/learning-paths/microcontrollers/introduction-to-tinyml-on-arm/Overview.png

@@ -44,6 +44,13 @@ To install the Corstone-300 FVP on your computer refer to the [install guide for
 
 The Corstone-300 FVP is pre-installed in Arm Virtual Hardware. 
 
+## Install PyTorch
+The latest version needs Python 3.8 or later
+
+```console
+pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+
+```
 
 ## Install Executorch
 
@@ -55,38 +62,56 @@ The Corstone-300 FVP is pre-installed in Arm Virtual Hardware.
 conda activate executorch
 ```
 
+## Install Edge Impulse CLI
+1. Create an [Edge Impulse Account](https://studio.edgeimpulse.com/signup) if you do not have one 
+
+2. Install the CLI tools
+
+Ensure you have Nodejs install 
+
+```console
+node -v 
+```
+Install the Edge Impulse CLI
+```console
+npm install -g edge-impulse-cli
+```
+3. Install Edge Impulse Screen
+```console
+sudo apt install screen
+```
+
+4. Download and extract the latest Edge Impulse firmware
+Grove Vision V2 [Edge impulse Firmware](https://cdn.edgeimpulse.com/firmware/seeed-grove-vision-ai-module-v2.zip). 
+
 
 ## Setup on Grove - Vision AI Module V2 
 Due to its constrained environment, we'll focus on lightweight, optimized tools and models (will be introcuded in the next learning path).
 
+![Hardware Overview #center](Overview.png)
+
+Hardware overview : [Image credits](https://wiki.seeedstudio.com/grove_vision_ai_v2/). 
+
 1. Connect the Grove - Vision AI Module V2 to your computer using the USB-C cable. 
 
-![Board connection #center](connect.png)
+![Board connection](Connect.png)
+
 
-2. Install Edge Impulse CLI. It will help in data collection and model deployment.
+2. In the extracted Edge Impulse firmware, locate and run the installation scripts to flash your device. 
 
 ```console
-npm install -g edge-impulse-cli
+./flash_linux.sh
 ```
 
 3. Configure Edge Impulse for the board
-In your terminal, run:
+in your terminal, run:
 
 ```console
 edge-impulse-daemon
 ```
 Follow the prompts to log in.
 
-4. Verify Setup: Connect to your device
+4. Verify your board is connected
 
-```console
-edge-impulse-run-impulse --api-key YOUR_API_KEY
-```
-
-If successful, you should see data from your Grove - Vision AI Module V2.
+If successful, you should see your Grove - Vision AI Module V2 under 'Devices' in Edge Impulse.
 
-5. Install Executorch 
-
-```console
-pip install executorch
-```