# Tag: Windows

## Filter

### Categories
- Automotive
- Embedded and Microcontrollers
- Laptops and Desktops
- Mobile, Graphics, and Gaming
- Servers and Cloud Computing

## Learning paths

- [Run MNIST on an Alif E8 Ensemble DevKit using ExecuTorch and Ethos-U85](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/observing-ethos-u-on-alif/)
- [Quantize neural upscaling models with ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/quantize-neural-upscaling-models/)
- [Enable neural graphics using ML Extensions for Vulkan](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/)
- [Build a Sentiment-Aware Voice Assistant with On-Device LLMs](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/voice-sentiment-analysis-with-llm/)
- [Optimize graphics performance using Frame Advisor render graphs](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/render-graph-optimization/)
- [Install and Use Arm integration packages for Unity](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/unity_packages/)
- [Profile Android game performance in Godot with Arm Performance Studio](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/godot_packages/)
- [Deploy optimized ML models with ONNX Runtime on Arm platforms](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/)
- [Accelerate matrix multiplication performance with SME2](https://learn.arm.com/learning-paths/cross-platform/multiplying-matrices-with-sme2/)
- [Generate neural graphics datasets with Neural Graphics Data Capture in Unreal Engine](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-data-capture-unreal/)
- [Enable Neural Super Sampling in Unreal Engine with ML Extensions](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/nss-unreal/)
- [Arm Neural Technology Playbook - Evaluate](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/)
- [Enable Neural Frame Rate Upscaling in Unreal Engine](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/nfru-unreal/)
- [Analyze Neural Frame Rate Upscaling using Project Moku](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/nfru-cases-study/)
- [Install tools on the command line using vcpkg](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/vcpkg-tool-installation/)
- [Convert uvprojx-based projects to csolution](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/uvprojx-conversion/)
- [Sampling CPython with WindowsPerf](https://learn.arm.com/learning-paths/laptops-and-desktops/windowsperf_sampling_cpython/)
- [Implement CI/CD with Windows on Arm host](https://learn.arm.com/learning-paths/laptops-and-desktops/windows_cicd_github/)
- [Get started with Windows Subsystem for Linux on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/wsl2/)
- [Get started with the Windows Performance Analyzer plugin for WindowsPerf](https://learn.arm.com/learning-paths/laptops-and-desktops/windowsperf_wpa_plugin/)
- [Develop desktop applications with Windows Forms on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_forms/)
- [Automate Windows on Arm virtual machine deployment with QEMU and KVM on Arm Linux](https://learn.arm.com/learning-paths/laptops-and-desktops/win11-vm-automation/)
- [Port the Win32 library to Arm64](https://learn.arm.com/learning-paths/laptops-and-desktops/win_win32_dll_porting/)
- [Measure application resource and power usage on Windows on Arm with FFmpeg and PowerShell](https://learn.arm.com/learning-paths/laptops-and-desktops/win-resource-ps1/)
- [Develop Windows applications with WinUI3 on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_winui3/)
- [Deploy GitHub Actions workflows using Windows Sandbox](https://learn.arm.com/learning-paths/laptops-and-desktops/win_sandbox_dot_net_cicd/)
- [Create OpenCV applications on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win-opencv/)
- [Analyze performance data with the Visual Studio extension for WindowsPerf](https://learn.arm.com/learning-paths/laptops-and-desktops/windowsperf-vs-extension/)
- [Develop desktop applications with Chromium Embedded Framework on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_cef/)
- [Build a Windows on Arm native application with .NET](https://learn.arm.com/learning-paths/laptops-and-desktops/win_net/)
- [Build .NET MAUI Applications on Arm64](https://learn.arm.com/learning-paths/laptops-and-desktops/win_net_maui/)
- [Run Phi-3 on Windows on Arm using ONNX Runtime](https://learn.arm.com/learning-paths/laptops-and-desktops/win_on_arm_build_onnxruntime/)
- [Optimize Windows applications using Arm Performance Libraries](https://learn.arm.com/learning-paths/laptops-and-desktops/windows_armpl/)
- [Optimize C++ applications on Windows on Arm using profile-guided optimization](https://learn.arm.com/learning-paths/laptops-and-desktops/win_profile_guided_optimisation/)
- [Get started with WindowsPerf](https://learn.arm.com/learning-paths/laptops-and-desktops/windowsperf/)
- [Develop cross-platform applications with Xamarin Forms on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_xamarin_forms/)
- [Develop applications with Windows Presentation Foundation (WPF) on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_wpf/)
- [Build native Windows on Arm applications with Python](https://learn.arm.com/learning-paths/laptops-and-desktops/win_python/)
- [Benchmarking .NET 8 applications on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_net8/)
- [Get started with Laptops and Desktops](https://learn.arm.com/learning-paths/laptops-and-desktops/intro/)
- [Sample Instructions with WindowsPerf and Arm SPE](https://learn.arm.com/learning-paths/cross-platform/windowsperf_sampling_cpython_spe/)
- [Deploy a Windows on Arm virtual machine on Microsoft Azure](https://learn.arm.com/learning-paths/cross-platform/woa_azure/)
- [Detect faces with OpenCV on Android Devices](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/android_opencv_facedetection/)
- [Build an Android chat application with ONNX Runtime API](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-android-chat-app-using-onnxruntime/)
- [Create Computer Vision Applications with OpenCV on Android Devices](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/android_opencv_camera/)
- [Build and profile a simple WebGPU Android Application](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/android_webgpu_dawn/)
- [Deploy containerized workloads to Arm-based Linux targets with Topo](https://learn.arm.com/learning-paths/cross-platform/deploy-containerized-workloads-with-topo/)
- [Develop a native C++ library on an Arm-based machine](https://learn.arm.com/learning-paths/cross-platform/matrix/)
- [Use LLVM Machine Code Analyzer to analyze assembly performance on Arm](https://learn.arm.com/learning-paths/cross-platform/mca-godbolt/)
- [Create and train a PyTorch model for digit classification using the MNIST dataset](https://learn.arm.com/learning-paths/cross-platform/pytorch-digit-classification-arch-training/)
- [Access remote devices with Remote.It](https://learn.arm.com/learning-paths/cross-platform/remoteit/)
- [Use Infrastructure as Code and Pulumi to provision Azure resources](https://learn.arm.com/learning-paths/servers-and-cloud-computing/from-iot-to-the-cloud-part4/)
- [Run a .NET Aspire application on Arm-based VMs on AWS and GCP](https://learn.arm.com/learning-paths/servers-and-cloud-computing/net-aspire/)
- [Deploy AWS services using the Serverless Framework](https://learn.arm.com/learning-paths/servers-and-cloud-computing/serverless-framework-aws-intro/)
- [Deploy and integrate AWS Lambda with DynamoDB using the Serverless Framework](https://learn.arm.com/learning-paths/servers-and-cloud-computing/serverless-framework-aws-lambda-dynamodb/)
- [Deploy a static website to Amazon S3 and integrate with AWS Lambda and DynamoDB using the Serverless Framework](https://learn.arm.com/learning-paths/servers-and-cloud-computing/serverless-framework-aws-s3/)
- [Deploy a containerized application using Azure Container Instances](https://learn.arm.com/learning-paths/servers-and-cloud-computing/from-iot-to-the-cloud-part2/)
- [Use AWS Lambda for IoT applications running on Arm64](https://learn.arm.com/learning-paths/laptops-and-desktops/win_aws_iot_lambda/)
- [Use Amazon DynamoDB for your IoT applications running on Arm64](https://learn.arm.com/learning-paths/laptops-and-desktops/win_aws_iot_dynamodb/)
- [Run ASP.NET Core Web Server on Arm64](https://learn.arm.com/learning-paths/laptops-and-desktops/win_asp_net8/)
- [Use Arm64EC with Windows 11 on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_arm64ec/)
- [Run AI models with Docker Model Runner](https://learn.arm.com/learning-paths/laptops-and-desktops/docker-models/)
- [Create Linux virtual machines with Hyper-V](https://learn.arm.com/learning-paths/laptops-and-desktops/hyper-v/)
- [Automate Windows on Arm builds with GitHub Arm-hosted runners](https://learn.arm.com/learning-paths/laptops-and-desktops/gh-arm-runners-win/)
- [Use Amazon S3 for your IoT applications running Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_aws_iot_s3/)
- [Port applications to Arm64 using Arm64EC](https://learn.arm.com/learning-paths/laptops-and-desktops/win_arm64ec_porting/)
- [Develop cross-platform desktop applications with Electron on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/electron/)
- [Build and run a native Windows on Arm Qt application](https://learn.arm.com/learning-paths/laptops-and-desktops/win_arm_qt/)
- [Integrate AWS Lambda with DynamoDB for IoT applications running Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_aws_iot_lambda_dynamodb/)
- [Create IoT applications with Windows on Arm and AWS IoT Core](https://learn.arm.com/learning-paths/laptops-and-desktops/win_aws_iot/)
- [Build a Windows on Arm native application with clang](https://learn.arm.com/learning-paths/laptops-and-desktops/llvm_putty/)
- [Get started with the arm-performix agent skill for profiling and improving Arm workloads](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-llm-agent-skill/)
- [Inspect model artifacts and runtime profiles with Google Model Explorer and Arm extensions](https://learn.arm.com/learning-paths/cross-platform/explore-model-artifacts-with-model-explorer/)
- [Deploy a machine learning application to the Arm Ethos-U65 NPU on NXP FRDM i.MX 93 with Topo](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/deploy-ml-model-to-npu-with-topo/)
- [Create and deploy a custom Topo Project](https://learn.arm.com/learning-paths/cross-platform/create-your-own-topo-project/)
- [Device-to-Device communication with Device Connect](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/device-connect-d2d/)
- [Getting started with CMSIS-DSP using Python](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/cmsisdsp-dev-with-python/)
- [Build IoT Solutions in Azure for Arm Devices](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/azure-iot/)
- [Build an edge AI Reachy Mini app with Raspberry Pi, MediaPipe, and MuJoCo](https://learn.arm.com/learning-paths/cross-platform/build-a-reachy-robot-app-on-pi/)
- [Automate MCP server testing using Pytest and Testcontainers](https://learn.arm.com/learning-paths/cross-platform/automate-mcp-with-testcontainers/)