Refactor documentation: update titles and section headings for clarity and consistency across TypeScript guides

Author: madeline-underwood

content/learning-paths/servers-and-cloud-computing/typescript-on-gcp/_index.md

@@ -1,14 +1,14 @@
 ---
-title: Deploy TypeScript on Google Cloud C4A (Arm-based Axion VMs)
+title: Deploy TypeScript on Google Cloud Axion-based C4A virtual machines
 
 minutes_to_complete: 30
 
-who_is_this_for: This is an introductory topic for software developers deploying and optimizing TypeScript workloads on Arm64 Linux environments, specifically using Google Cloud C4A virtual machines powered by Axion processors.
+who_is_this_for: This is an introductory topic for developers deploying and optimizing TypeScript workloads on Arm64 Linux environments, specifically using Google Cloud C4A virtual machines powered by Axion processors.
 
 learning_objectives:
-  - Provision an Arm-based SUSE SLES virtual machine on Google Cloud (C4A with Axion processors)
-  - Install TypeScript on a SUSE Arm64 (C4A) instance
-  - Validate TypeScript functionality by creating, compiling, and running a simple TypeScript script on the Arm64 VM
+  - Provision an Arm-based SUSE Linux Enterprise Server (SLES) virtual machine (VM) on Google Cloud (C4A with Axion processors)
+  - Install TypeScript on a SUSE Arm64 C4A instance
+  - Validate TypeScript functionality by creating, compiling, and running a simple TypeScript script on a Arm64 VM
   - Benchmark TypeScript performance using a JMH-style custom benchmark with perf_hooks on Arm64 architecture
 
 prerequisites:

content/learning-paths/servers-and-cloud-computing/typescript-on-gcp/background.md

@@ -1,16 +1,21 @@
 ---
-title: Getting started with TypeScript
+title: Getting started with TypeScript on Google Axion C4A instances
 
 weight: 2
 
 layout: "learningpathall"
 ---
 
+## Introduction
+
+This Learning Path shows you how to deploy and benchmark TypeScript applications on Arm-based Google Cloud C4A instances powered by Axion processors. You'll provision a SUSE Linux Enterprise Server (SLES) virtual machine (VM), install and configure TypeScript, and measure performance using a JMH-style custom benchmark. By combining TypeScript’s strong typing and developer tooling with the high performance and energy efficiency of Arm-based C4A instances, you can build robust, scalable, and cost-effective cloud-native applications optimized for the future of cloud on Arm.
+
+
 ## Google Axion C4A Arm instances in Google Cloud
 
 Google Axion C4A is a family of Arm-based virtual machines built on Google’s custom Axion CPU, which is based on Arm Neoverse-V2 cores. Designed for high-performance and energy-efficient computing, these virtual machines offer strong performance for modern cloud workloads such as CI/CD pipelines, microservices, media processing, and general-purpose applications.
 
-The C4A series provides a cost-effective alternative to x86 virtual machines while leveraging the scalability and performance benefits of the Arm architecture in Google Cloud.
+The C4A series provides a cost-effective alternative to x86 virtual machines while leveraging the scalability and performance benefits of the Arm architecture on Google Cloud.
 
 To learn more about Google Axion, see the Google blog [Introducing Google Axion Processors, our new Arm-based CPUs](https://cloud.google.com/blog/products/compute/introducing-googles-new-arm-based-cpu).
 

content/learning-paths/servers-and-cloud-computing/typescript-on-gcp/baseline.md

@@ -7,13 +7,12 @@ layout: learningpathall
 ---
 
 ## Set up your TypeScript baseline
-This section walks you through the baseline setup and validation of TypeScript on a Google Cloud C4A (Axion Arm64) virtual machine running SUSE Linux.
-The goal is to confirm that your TypeScript environment is functioning correctly, from initializing a project to compiling and executing a simple TypeScript file, ensuring a solid foundation before performance or benchmarking steps.
+This section walks you through the baseline setup and validation of TypeScript on a Google Cloud C4A (Axion Arm64) virtual machine running SUSE Linux. The goal is to confirm that your TypeScript environment is functioning correctly, from initializing a project to compiling and executing a simple TypeScript file, ensuring a solid foundation before performance or benchmarking steps.
 
-## Set Up a TypeScript Project
+## Set up a TypeScript project
 Before running any tests, you’ll create a dedicated project directory and initialize a minimal TypeScript environment.
 
-### Create project folder
+## Create project folder
 
 Start by creating a new folder to hold your TypeScript project files:
 
@@ -31,7 +30,7 @@ Next, initialize a new Node.js project. This creates a `package.json` file that
 npm init -y
 ```
 
-### Install Node.js type definitions
+## Install Node.js type definitions
 
 To enable TypeScript to properly recognize Node.js built-in APIs (like fs, path, and process), install the Node.js type definitions package:
 
@@ -58,7 +57,7 @@ You should see output similar to:
 ## Perform baseline testing
 With the TypeScript environment configured, you’ll now perform a baseline functionality test to confirm that TypeScript compilation and execution work correctly on your Google Cloud SUSE Arm64 VM.
 
-### Create a Simple TypeScript File
+### Create a simple TypeScript file
 
 Create a file named `hello.ts` with the following content:
 

content/learning-paths/servers-and-cloud-computing/typescript-on-gcp/instance.md

@@ -26,6 +26,6 @@ To create a virtual machine based on the C4A instance type:
 
    ![Create a Google Axion C4A Arm virtual machine in the Google Cloud Console with c4a-standard-4 selected alt-text#center](images/gcp-vm.png "Creating a Google Axion C4A Arm virtual machine in Google Cloud Console")
 
-- Under **OS and Storage**, select **Change**, then choose an Arm64-based OS image. For this Learning Path, use **SUSE Linux Enterprise Server**. Pick the preferred version for your Operating System. Ensure you select the **Arm image** variant. Click **Select**.
+- Under **OS and Storage**, select **Change**, then choose an Arm64-based OS image. For this Learning Path, use **SUSE Linux Enterprise Server**. Pick the preferred version for your operating system. Ensure you select the **Arm image** variant. Click **Select**.
 - Under **Networking**, enable **Allow HTTP traffic**.
 - Click **Create** to launch the instance.