Learn how to create and deploy Azure Functions. Explore hosting options, bindings, and triggers.

Learn how to improve the performance and scalability of your applications by integrating Azure Cache for Redis and Azure Content Delivery Network in to your solution.

Learn how to create and deploy containerized solutions to Azure by using the Azure Container Registry, Azure Container Instances, and Azure Container Apps.

Learn how to more securely deploy apps in Azure by using Azure Key Vault, managed identities, and Azure App Configuration.

Learn how to implement authentication and authorization to resources by using the Microsoft identity platform, Microsoft Authentication Library, shared access signatures, and use Microsoft Graph.

Learn how to instrument apps to enable Application Insights to monitor performance and help troubleshoot issues.

In the following modules, we will introduce the Azure Cosmos DB for MongoDB account. We will learn how to add Azure Cosmos DB databases, collections and documents to the account. We will discuss the importance of using the proper model, sharding and indexing designs to ensure the best performance of the collections. You will also learn about the migration from and existing MongoDB database to Azure Cosmos DB. Finally, Azure Cosmos DB replication and monitoring will be covered. These modules should give you a good introduction on how to design and manage an Azure Cosmos DB for MongoDB account. Time to get started.

Azure DevOps CI/CD pipelines creation, Integration with selenium and sonarqube, git, Cucumber reports, Azure pipelines for automation testers

Azure Health Bot supports many built-in scenarios. Examples include triaging a medical condition, finding information about a disease or types of drugs, and getting user consent.

The Health Bot service is a cloud platform that empowers developers in healthcare organizations to build and deploy compliant, AI-powered virtual health assistants and health bots that help them improve processes and reduce costs.

Learn how to enrich the capabilities of your bot by using the prebuilt scenario templates.

In this learning path, you'll understand how autoscaling of your AKS workloads can be achieved and how workload scale changes drive how your cluster scales to meet workload needs.