Learn to deploy a computer vision application in a serverless environment. Explore serverless architecture, cloud platforms, and how to deploy scalable computer vision models without worrying about infrastructure management.

Build and deploy a database-driven web app using IBM Cloudant. Learn to integrate scalable, NoSQL databases with web applications for high-performance storage and retrieval.

Learn how to deploy a Django app using Docker. Understand the process of containerizing Django applications to ensure consistency across environments and ease deployment.

Deploy a Java EE (Jakarta EE) application to JBoss EAP on Azure App Service and bind it to Azure Database for MySQL.

In this module, you'll look at practices to create and deploy a Java web application on Azure App Service.

When you create applications for Microsoft Teams, depending on your requirements, you might choose to host the web app in Azure. You might also add features that require cloud resources, like Azure Key Vault or Azure Functions. If you're creating bots, you'll need to use Azure Bot. The Teams Toolkit for Visual Studio Code extension streamlines the process of setting up and deploying cloud resources by giving you a simple way to select and provision these resources during the app development stage. It also caters to easy publishing of the app, whether you need to publish to your organization for other users to test or to create app packages that can then be uploaded manually in Teams. In this training module, you'll understand more about the infrastructure requirements and how to set up things for hosting and publishing your app in Teams.

Learn how to deploy models to a batch endpoint. When you invoke a batch endpoint, you'll trigger a batch scoring job.

Learn how to deploy models to a managed online endpoint for real-time inferencing.

Learn how to automate and test model deployment with GitHub Actions and the Azure Machine Learning CLI (v2).

Deploy a pre-built temperature simulator module to an IoT Edge device using a container. Check that the module was successfully created and deployed and view simulated data.

Learn how to deploy your own private MQTT broker.

Create a Quarkus application, connect it to a PostgreSQL database, and then deploy it to Azure Container Apps.