Empower your Cloud Computing skills with Microsoft Windows Azure Training program

Microsoft Azure is a bunch of assimilated cloud services widely used by developers to develop, deploy and manage applications through a wide network of data centers. Microsoft Azure Fundamentals Training program is designed to help you become master in this domain by giving you the in-depth knowledge of building and managing Azure solutions. Once you get trained in MS Azure, you get the freedom to develop and manage applications and frameworks as per your choice. After the completion of this training program, the students will be able to:

  • Build and deploy an Azure Web Site
  • Describe Azure services
  • Describe the Azure Active Directory service
  • Develop an Azure SQL Instance
  • Manage Configuration Settings for a Cloud Web Application
  • Implement the core Azure infrastructure, consisting of virtual networks and storage
  • List the deployment strategies for web applications
  • Create and configure virtual machines and disks
  • Describe the options for monitoring a web application in Azure

Microsoft Azure Training in Noida gives a right direction to your career and opens gate for better job opportunities. Before going to avail this training program, the students should have some knowledge of the concept of websites and database. The training program help you build your career as Microsoft Certified Solutions Associate and Cloud Platform and Infrastructure Solutions Expert. MS Azure provides a wide assortment of cloud services like computing, data storage, hybrid integration, analytics and networking that helps them to develop applications. Here are some of the benefits of MS Azure:

  • Integration with other Microsoft tools
  • It provides managed SQL and NoSQL data services and built-in support for improving business and decision making processes
  • Easy to develop, deploy and manage applications using Azure
  • Changes in the application developed using MS Azure can be applied without any downtime
  • Cost savings and quick scalability

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