Open PR for Vulkan update

content/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/2-ml-ext-for-vulkan.md

@@ -23,6 +23,21 @@ Before building and running the samples, ensure the following tools are installe
 - Python 3
 - Git
 
+In VSCode create a new folder for this project then make sure you have the following extensions: 
+  * C/C++ From Microsoft 
+  * CMake Tools From Microsoft
+
+![C/C++ tools extension](images/c-ext.png)
+
+![Cmake tools extension](images/cmake-ext.png)
+
+
+Create a Venv in Python (3.13 was used in the creation of this Guide) and run the following commands 
+
+```bash
+pip install ai-ml-emulation-layer-for-vulkan, cmake
+```
+
 To verify your installation, run the following commands:
 
 ```bash
@@ -38,33 +53,31 @@ Each command should print the installed version of the tool.
 Go to the [Getting Started with the Windows Vulkan SDK](https://vulkan.lunarg.com/sdk/home) and download the SDK Installer for Windows. This installs **Vulkan Configurator** which is used to run the emulation layers.
 
 {{% notice Note %}}
-You must use a version >= 1.4.321 for the Vulkan SDK.
-{{% /notice %}}
 
-## Download the emulation layers
-
-For this Learning Path, a pre-built of package of the emulation layers is available. Download them by clicking the link.
+You must use a version >= 1.4.321 for the Vulkan SDK.
 
-[ML Emulation Layer for Vulkan](https://www.arm.com/-/media/Files/developer/MLEmulationLayerForVulkan20251107)
+{{% /notice %}}
 
-Extract the downloaded file in a location of your choice. You’re now ready to enable the emulation layers in Vulkan Configurator.
 
 ## Enable the emulation layers in Vulkan Configurator
 
 Next, enable the emulation layers using the Vulkan Configurator to simulate the `VK_ARM_data_graph` and `VK_ARM_tensors` extensions. Open **Vulkan Configurator**.
 
-Under the **Vulkan Layers Location** tab, add the path to your `MLEmulationLayerForVulkan` folder.
+Under the **Vulkan Layers Available** tab, add the path to your `Emulation layer` folder that can be found in the site packages of your venv folder select the bin folder.
+
 
-Switch back to the **Vulkan Loader Management** tab. In the **Apply a Vulkan Loader Configuration** list, right-click and choose **Create a new Configuration**. You can give the new configuration any name, for example `tensor_and_data_graph`.
+![VL available](images/vl-availble.png)
 
-![Screenshot of the Vulkan Configurator showing the Vulkan Layers Location tab, where the emulation layer path (MLEmulationLayerForVulkan) is added to enable VK_ARM_data_graph and VK_ARM_tensors alt-text#center](./images/load_layers.png "Add emulation layers in Vulkan Configurator")
+Under the **Vulkan layers Configuration** tabgo through each setting in the top rigt except disable all Vulkan Layers and enable the Graph and Tensor Emulation
 
 Ensure that the **Graph** layer is listed above the **Tensor** layer.
 
-![Screenshot showing the Graph layer listed above the Tensor layer in the Vulkan Configurator. alt-text#center](./images/verify_layers.png "Reorder layers in Vulkan Configurator")
+![VL Config](images/vl-config.png)
 
 {{% notice Important %}}
+
 Keep Vulkan Configurator running while you run the Vulkan samples.
+
 {{% /notice %}}
 
 With the emulation layers configured, you're ready to build the Vulkan Samples. Continue to the next section to get started.

content/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/3-first-sample.md

@@ -21,6 +21,29 @@ cd Vulkan-Samples
 
 This repository includes the framework and samples showcasing the ML extensions for Vulkan.
 
+## Setting up Visual studio build tools 
+
+o build the Vulkan Samples on Windows using the Visual Studio generator, you still need the Microsoft C++ compiler and build tools.
+
+Install the Visual Studio 2022 Build Tools with:
+
+```bash
+winget install -e --id Microsoft.VisualStudio.2022.BuildTools
+```
+
+When the installer opens, select:
+
+Desktop development with C++
+
+![image for the desktop tool required visual studio](images/vsmod.png)
+
+Make sure these components are included:
+
+MSVC v143 C++ build tools
+Windows 10/11 SDK
+C++ CMake tools for Windows
+
+
 ## Build the Vulkan Samples
 
 You're now ready to compile the project. From the root of the repository:
@@ -65,4 +88,4 @@ As a next step, you can explore the remaining samples for the data graph pipelin
 | **Tensor Image Aliasing**      | Demonstrates tensor aliasing with Vulkan images to enable zero-copy workflows                  | Memory-efficient data sharing |
 | **Postprocessing with VGF**      | Explores using VGF format, which contains SPIR-V, input, output and constant data used to run a data graph pipeline.   | Neural network model     |
 
-Next, you'll review additional tools to help you work with ML extensions for Vulkan in your own development environment.
+Next, you'll review additional tools to help you work with ML extensions for Vulkan in your own development environment.

content/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/_index.md

@@ -13,7 +13,7 @@ learning_objectives:
 
 prerequisites:
     - Windows 11 development machine
-    - Visual Studio 2022
+    - Visual Studio 2022 and VSCode
     - Visual Studio workload - Desktop development with C++
     - Visual Studio workload - .NET desktop build tools