Discover techniques for implementing image recognition systems using machine learning algorithms and frameworks.

Build and train machine learning models for image recognition tasks using Python libraries.

Collaborate with others and merge only the highest quality code.

Identify an application's key access patterns. Define the entities' data model, along with containers to store the data with a partition key that will result in an efficient and scalable data store for the application.

Application Lifecycle Management (ALM) is the management of computer programs, which includes managing requirements, software architecture, software development, software maintenance, change management, continuous integration, project management, and released management. Learn about ALM to plan, create, test, and implement code for finance and operations apps.

Learn how to implement authentication by using the Microsoft Authentication Library.

Learn how to use Azure App Configuration service to centrally manage and secure your configuration settings, and to manage app features.

Learn how Azure Container Apps can help you deploy and manage microservices and containerized apps on a serverless platform that runs on top of Azure Kubernetes Service.

Write code to create, read, update, and delete items in Azure Cosmos DB for NoSQL.

Learn how Azure Key Vault can help you keep your apps more secure, and how to set and retrieve secrets by using the Azure CLI.

Learn how to optimize application performance by simulating real-world loads with Azure Load Testing service. Learn how to automate load testing with GitHub Actions to ensure consistent application performance and scalability.

We'll learn to use the two backup models Azure Cosmos DB provides.