Fix additional 'in this' and 'following this' link terminology

Co-authored-by: jasonrandrews <4744588+jasonrandrews@users.noreply.github.com>

Author: Copilot

content/learning-paths/laptops-and-desktops/win_arm64ec_porting/how-to-3.md

@@ -121,7 +121,7 @@ Then, right-click on the Arm64EC.Porting.Vectors file and open the Properties wi
 
 The compiled DLL will be available under the ARM64EC subfolder. You can then use it in the **Main-app** in the same way as the DLLs built using CMake.
 
-To use MSBuild for the second DLL, proceed in the same way. For your convenience, you can refer to the full source code in this [git repository](https://github.com/dawidborycki/Arm64EC.Porting.MSBuild/).
+To use MSBuild for the second DLL, proceed in the same way. For your convenience, you can refer to the [full source code on GitHub](https://github.com/dawidborycki/Arm64EC.Porting.MSBuild/).
 
 ## Summary
 This learning path demonstrated how to port C/C++ DLLs to Arm64 using Arm64EC. It showed you how to use CMake and MSBuild projects. You also learned how to use DLLs in the Python app with ctypes. This information can help you rapidly build UIs and keep computation-intensive work in a separate DLL. You can then build those DLLs for Arm64 and mix them with your existing x64 dependencies.

content/learning-paths/laptops-and-desktops/win_aws_iot_lambda_dynamodb/create-lambda.md

@@ -7,7 +7,7 @@ weight: 3
 layout: "learningpathall"
 ---
 ## Objective
-You will now implement the AWS Lambda function to scan the records from the DynamoDB. We have assumed that the records have already been written to the table as demonstrated in this [learning path on creating IoT applications with WoA and AWS IoT Core](/learning-paths/laptops-and-desktops/win_aws_iot_dynamodb/).
+You will now implement the AWS Lambda function to scan the records from the DynamoDB. We have assumed that the records have already been written to the table as demonstrated in [Use Amazon DynamoDB for your IoT applications running on Arm64](/learning-paths/laptops-and-desktops/win_aws_iot_dynamodb/).
 
 ## Create and configure an AWS Lambda function
 Go the AWS Lambda console. Then, create the function as shown below:

content/learning-paths/laptops-and-desktops/win_aws_iot_s3/deploy.md

@@ -10,7 +10,7 @@ layout: "learningpathall"
 
 In this section you will deploy the website to Amazon S3 using the Amazon Command Line interface (AWS CLI) version 2. If you don't already have it, start by [installing AWS CLI](/install-guides/aws-cli/).
 ### AWS CLI
-To configure the AWS CLI you first need to create the [AWS CLI user](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_users_create.html#id_users_create_console). Then, you need to generate the access keys by following this [tutorial](https://docs.aws.amazon.com/cli/v1/userguide/cli-authentication-user.html).
+To configure the AWS CLI you first need to create an [AWS CLI user](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_users_create.html#id_users_create_console). Then, you need to generate the access keys by following the [AWS CLI authentication tutorial](https://docs.aws.amazon.com/cli/v1/userguide/cli-authentication-user.html).
 
 Once you have the access key, go to the Command Prompt and type the following:
 

content/learning-paths/laptops-and-desktops/win_python/how-to-1.md

@@ -170,7 +170,7 @@ Successfully installed numpy-1.26.2
 ```
 
 ## Arm build tools
-To install the NumPy package, we will need to provide the Arm build tools. Install Visual Studio 2022 Community with the **Desktop development with C++** workload and **Arm build tools** as explained in this [installation guide](https://developer.arm.com/documentation/102528/0100/Install-Visual-Studio). 
+To install the NumPy package, we will need to provide the Arm build tools. Install Visual Studio 2022 Community with the **Desktop development with C++** workload and **Arm build tools** as explained in the [Visual Studio installation guide](https://developer.arm.com/documentation/102528/0100/Install-Visual-Studio). 
 
 After installing the build tools, restart your machine and install NumPy package with the following command: