Become a Cloud Developer using Microsoft Azure
- 1
- 17 weeks long, 5-10 hours a week
- Udacity
- English
Course Overview
Microsoft Azure is one of the most popular cloud services platforms used by enterprises, making it a crucial tool for cloud computing professionals to add to their skillset. The Cloud Developer using Microsoft Azure Nanodegree program teaches students how to deploy, build, migrate, and monitor applications on Azure, thereby preparing learners for success on Microsoft’s AZ-204 Azure Developer Associate Expert certification.
Course Circullum
- Azure Applications
- In this course, you will learn the basics of deploying an application to Azure and understand the benefits and costs of cloud deployments, different types of service models, and how to navigate the Microsoft Azure platform.
- Azure Microservices
- In this course, you will learn how to implement a serverless microservice back-end architecture in Python using Azure cloud serverless offerings. You’ll compare and contrast common Azure microservices architecture and compute options, configure an instance of a MongoDB database with Azure Cosmos DB, and allow the API to talk to this database. You will also apply Enterprise Logic Apps and Event Grid to structure an application workflow. Finally, you’ll deploy published API endpoints so they provide the necessary responses to complete the client-side requests of the front-end web application.
- Azure Migration
- This course focuses on the techniques, processes, and nuances of migrating an existing application to Azure. It will cover the whole end-to-end process of an Azure migration from predicting costs of the migration to refactoring the code to ensure the application and corresponding databases are compatible with Azure. In addition, the course walks through best practices of the different application components migrated to Azure: web applications, background processes, and databases.
- Azure Performance
- This course enables students to acquire skills which allow them to collect data about the health and performance of an application, analyze and display the collected data to make informed decisions, and create automation to remedy application health or performance issues. You will set up and use Application Insights on a variety of Azure resources, and use the Application Insights SDK in a Python application to collect and transmit data about the application. You’ll also query, transform, and display the collected application data so that the data can easily be analyzed, and use automation in Azure to manage cloud resources.
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This Course Include:
- Azure Applications
- In this course, you will learn the basics of deploying an application to Azure and understand the benefits and costs of cloud deployments, different types of service models, and how to navigate the Microsoft Azure platform.
- Azure Microservices
- In this course, you will learn how to implement a serverless microservice back-end architecture in Python using Azure cloud serverless offerings. You’ll compare and contrast common Azure microservices architecture and compute options, configure an instance of a MongoDB database with Azure Cosmos DB, and allow the API to talk to this database. You will also apply Enterprise Logic Apps and Event Grid to structure an application workflow. Finally, you’ll deploy published API endpoints so they provide the necessary responses to complete the client-side requests of the front-end web application.
- Azure Migration
- This course focuses on the techniques, processes, and nuances of migrating an existing application to Azure. It will cover the whole end-to-end process of an Azure migration from predicting costs of the migration to refactoring the code to ensure the application and corresponding databases are compatible with Azure. In addition, the course walks through best practices of the different application components migrated to Azure: web applications, background processes, and databases.
- Azure Performance
- This course enables students to acquire skills which allow them to collect data about the health and performance of an application, analyze and display the collected data to make informed decisions, and create automation to remedy application health or performance issues. You will set up and use Application Insights on a variety of Azure resources, and use the Application Insights SDK in a Python application to collect and transmit data about the application. You’ll also query, transform, and display the collected application data so that the data can easily be analyzed, and use automation in Azure to manage cloud resources.
- Provider:Udacity
- Certificate:Certificate Available
- Language:English
- Duration:17 weeks long, 5-10 hours a week
- Language CC: