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Microsoft Azure Compute for Developers

Mike Pfeiffer, Matt Milner, Alan Smith, Mark Heath, Anthony Nocentino, Stephen Thomas, Ivan Gavryliuk, and Stephen W. Thomas

Every Microsoft Azure application relies on the power of computing in the cloud. This path will guide you through all of the decisions and implementations you need to know to efficiently and successfully develop your applications on Microsoft Azure.

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What's inside

Seven courses

Provisioning Microsoft Azure Virtual Machines

(3 hours)

In Azure, virtual machines are the primary computational resource. This course will teach you how to provision VMs in the Azure portal, at the command line, and how to create custom images and manage virtual disks.

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Implementing Web and Mobile Services on Microsoft Azure

(3 hours)

Familiar with Microsoft Azure? This course teaches you to design and implement web applications into the Azure cloud.

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Microsoft Azure Developer: Web Jobs

(1 hours)

Azure Web Jobs allow you to write code that can run in the background of your App Service. In this course, you will learn how to write, publish, and manage Web Jobs and how the WebJobs SDK can simplify very complex solutions with bindings and triggers.

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Microsoft Azure Developer: Creating Enterprise Logic Apps

(2 hours)

This course introduces Azure Logic Apps, a platform for building and deploying enterprise solutions. You will learn core components, customization options, and deployment strategies. Upon completion, you will have the skills to create production-ready logic apps that address real-world business needs.

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Understanding the Programming Models of Azure Service Fabric 7

(3 hours)

Microsoft has published their own microservice platform called Azure Service Fabric. In this course, you'll learn the basics of Azure Service Fabric, and how to build your own microservice applications.

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Microsoft Azure Developer: Create Serverless Functions

(2 hours)

Azure Functions is the quickest and easiest way to get your code running in Azure. This course will teach you how to create your own serverless functions, integrate with other services, and host them in Azure or Docker containers.

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Microsoft Azure Batch: Getting Started

(2 hours)

This course, Microsoft Azure Batch: Getting Started, will focus on the use of the Azure Batch service for job processing, using the rendering of a 3D ray-traced animation as an example. Cloud Computing platforms, such as Microsoft Azure, bring the availability of massive compute resources on a consumption billing model. The Azure Batch service simplifies the task of running distributed parallel compute jobs in the cloud.

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Learning objectives

How to provision virtual machines
How to leverage paas to develop applications

How to develop serverless cloud applications
How to process high-performance computing jobs

How to provision virtual machines
How to leverage paas to develop applications
How to develop serverless cloud applications
How to process high-performance computing jobs

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Time

19 hours

Via

Pluralsight

Institution

Instructors

Mike Pfeiffer

Matt Milner

Alan Smith

Mark Heath

Anthony Nocentino

Stephen Thomas

Ivan Gavryliuk

Stephen W. Thomas

Language

English

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