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Add descriptions to learning paths for improved clarity and context
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content/learning-paths/servers-and-cloud-computing/argo-cd-gcp/_index.md

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title: Deploy applications on Arm-based GKE using GitOps with Argo CD
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description: Learn how to deploy and manage applications on Google Cloud GKE Arm64 clusters using Argo CD GitOps workflows with automated sync and self-healing on Axion processors.
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content/learning-paths/servers-and-cloud-computing/arm-cpp-memory-model/_index.md

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title: Learn about the C++ memory model for porting applications to Arm
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description: Learn how to write correct concurrent C++ code when porting applications from x86 to Arm by understanding memory ordering differences and using best practices to avoid race conditions.
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content/learning-paths/servers-and-cloud-computing/arm-soc-migration-learning-path/_index.md

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title: Migrate applications between Arm platforms using Kiro Arm SoC Migration Power
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description: Learn how to migrate C applications between Arm platforms using Kiro's AI-assisted tooling to identify hardware dependencies and implement abstraction layers for cross-platform compatibility.
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who_is_this_for: This is an advanced topic for experienced developers who need to migrate applications between Arm-based platforms using AI-assisted tooling. You will work through a structured, repeatable migration workflow using Kiro Arm SoC Migration Power, moving an application from AWS Graviton3 (Neoverse) to Raspberry Pi 5 (Cortex-A). The techniques apply broadly to cloud-to-edge and cross-architecture migrations across the Arm ecosystem.

content/learning-paths/servers-and-cloud-computing/arm_linux_page_size/_index.md

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title: Explore performance gains by increasing the Linux kernel page size on Arm
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description: Learn how to install and configure a Linux kernel with 64K page size support on Arm systems to improve memory efficiency and performance for memory-intensive workloads.
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minutes_to_complete: 30
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content/learning-paths/servers-and-cloud-computing/arm_pmu/_index.md

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title: How to use the Arm Performance Monitoring Unit and System Counter
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description: Learn how to access and use Arm hardware performance counters and the system counter from user space using PAPI, perf_event_open, and assembly code for performance instrumentation.
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minutes_to_complete: 90
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content/learning-paths/servers-and-cloud-computing/aws-terraform/_index.md

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title: Deploy Arm Instances on AWS using Terraform
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description: Learn how to automate the creation and deployment of AWS Graviton instances using Terraform with jump server access for secure infrastructure management.
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minutes_to_complete: 60
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content/learning-paths/servers-and-cloud-computing/azure-arm-template/_index.md

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title: Deploy Arm-based Cobalt 100 VMs using Azure Resource Manager templates
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description: Learn how to create and deploy Azure Resource Manager templates to provision Arm64-based Cobalt 100 virtual machines on Azure using the Azure CLI.
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minutes_to_complete: 45
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content/learning-paths/servers-and-cloud-computing/azure-cobalt-cicd-aks/_index.md

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title: Deploy a .NET application on Microsoft Azure Cobalt 100 VMs
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description: Learn how to configure a self-hosted GitHub runner on Azure Cobalt 100, create an AKS cluster with Terraform, and deploy a .NET application using GitHub Actions CI/CD.
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content/learning-paths/servers-and-cloud-computing/azure-vm/_index.md

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title: Create an Azure Linux 3.0 virtual machine with Cobalt 100 processors
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description: Learn how to create a custom Azure Linux 3.0 VM image using QEMU, upload it to Azure Shared Image Gallery, and deploy it on Arm-based Cobalt 100 processors.
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minutes_to_complete: 120
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content/learning-paths/servers-and-cloud-computing/benchmark-nlp/_index.md

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title: Accelerate Natural Language Processing (NLP) models from Hugging Face on Arm servers
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description: Learn how to deploy and accelerate PyTorch NLP sentiment analysis models from Hugging Face on Arm servers with BFloat16 fast math kernel optimization on Graviton3 processors.
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minutes_to_complete: 20
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