Learn about Container support in Azure AI services allowing the use of APIs available in Azure and enable flexibility in where to deploy and host the services with Docker containers.

Write JSON Azure Resource Manager templates (ARM templates) by using Visual Studio Code to deploy your infrastructure to Azure consistently and reliably.

Gain all of the benefits of infrastructure as code by using an automated pipeline to deploy your Bicep templates, and integrate other deployment activities with your pipelines. You'll build pipelines using Azure Pipelines.

Gain all of the benefits of infrastructure as code by using an automated workflow to deploy your Bicep templates, and integrate other deployment activities with your workflows. You'll build workflows using GitHub Actions.

Learn how to deploy Azure Virtual Desktop. You'll start with provisioning an Azure Virtual Desktop connection to a remote resource, and make a desktop and apps available to users by using application groups. Then you'll customize the workspace for your users, and end by installing Azure Virtual Desktop client for Windows and connect to the workspace.

Deploy various Azure resources in your Bicep code. Define and use child and extension resources. Work with resources that you created outside a Bicep template or module.

In this course, you will identify the benefits, requirements, and options for preparing, creating, managing, and maintaining a Citrix DaaS resource location hosted on Google Cloud.

Develop the skills necessary to configure a secure deployment solution for cloud-native apps. Learn how to build, deploy, scale, and manage containerized cloud-native apps using Azure Container Apps, Azure Container Registry, and Azure Pipelines.

In this learning path, you practice deploying containers, container orchestration, and managing clusters on Azure Kubernetes Service. The skills validated include deploying, configuring, and scaling an Azure Kubernetes Service cluster. Also, deploying an Azure Container Registry instance and deploying an application into an Azure Kubernetes Service cluster.

Deploying large-scale models for real-time inferencing is challenging because of the model's size. Learn what you can do and which frameworks you can use to optimize your model's performance during model scoring.

This module describes how you can use Intune to create and manage WIP policies that manage this protection. The module also covers implementing BitLocker and Encrypting File System.

Use Autopilot to deploy new hardware or refreshing an existing hardware with the organization's desired configuration, without using the traditional imaging process.