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Building cloud-based applications with Microsoft Azure

In the early days of cloud computing, the “cloud” was mostly a place to park data and spin up virtual machines. Today it is much more. In addition to providing access to traditional storage and compute resources on Linux as well as Windows, Microsoft Azure includes extensive infrastructure options, rich management and analytical tools, and dozens of services to aid developers in building intelligent services and applications. Learn about the various features that Azure has to offer and how to use them to build super-scalable applications in this intensive 3-day hands-on workshop.

What you will learn

Attendees will acquire first-hand experience using Azure and the services that it offers. You will learn how to:

  • Deploy and manage resources using the Azure Portal and the Azure CLI
  • Host Web apps and Web APIs in the cloud
  • Use Azure Storage, Azure SQL Database, and Azure Cosmos DB to store data in the cloud
  • Use Azure Active Directory to secure applications and implement single sign-on
  • Use Azure Service Bus to link apps and services with message queues
  • Run containerized workloads in the cloud
  • Deploy serverless applications to Azure
  • Use Azure Stream Analytics to extract information from high-velocity data streams
  • Use Azure Cognitive Services to build intelligent apps backed by AI and machine learning
  • Use these and other services as building blocks for end-to-end solutions

Each course module consists of a lecture followed by a hands-on lab designed to reinforce the principles presented during lecture.


This course is for software developers who want to learn how to build super-scalable cloud-based applications. The hands-on labs involve a lot of coding. Most of the coding is done in C#, but some is done in JavaScript and Node.js. In order to work the labs, attendees must have the following:

  • Experience programming in C#

  • An Azure subscription (Azure Pass, MSDN subscription, free trial, company subscription, etc.)
  • A laptop with Visual Studio Community 2019 or higher with the latest updates installed and the .NET Desktop Development, ASP.NET and Web Development, and Azure Development workloads installed
  • Administrative permissions to install Visual Studio Code, NuGet packages, Node.js, NPM packages, and other tools that are required during the course of the labs

Day 1

Introduction to Microsoft Azure
Learn what Azure is and what services it offers. Learn about the building blocks of cloud-based apps, and then dive into the Azure Portal and create your first virtual machine  (VM).

Azure Web Apps
Learn how to host Web apps and Web services in the cloud using Azure App Service, and learn about deployment slots, auto-scaling, and other features that this service offers.

Azure Storage
Learn how to store data in the cloud by leveraging Azure Storage services such as blob storage. Also learn how to manage these services and how to interact with them using REST APIs and packages that wrap those APIs.

Azure Active Directory
Learn about the identity and access-management services that Azure provides and how to use them to secure your applications and implement single sign-on.

Day 2

Azure Databases
Learn how to use Azure SQL Database to host relational databases in the cloud and benefit from massive scalability, automatic tuning, geo-replicated backup, automatic threat detection, and more. Also learn about Cosmos DB – Azure’s globally-distributed, multi-model database service – and how you can use it as a data repository for your applications.

Azure Service Bus
Messaging is the glue that binds apps, services, and microservices that work together. Learn how to use Service Bus message queuing to compose scalable and robust cloud-based applications.

Learn how to use Docker containers with the Azure Container Registry (ACR) and Azure Container Instances (ACI) to deploy containerized workloads to the cloud.

Day 3

Serverless Applications
Learn how to use Azure Functions to deploy functions written in C#, JavaScript, and other languages to the cloud. Also learn how to compose workflows with Azure Logic Apps.

Azure Stream Analytics
Learn how to use Azure Stream Analytics and the Stream Analytics Query Language to extract information from high-velocity data streaming from IoT devices and other sources. Also learn how to use Azure Event Hubs and Azure IoT Hubs to ingest high volumes of data efficiently and securely.

Azure Cognitive Services
Learn about the Computer Vision API and other APIs available in Azure Cognitive Services for building intelligent apps backed by AI and Machine Learning.

Jeff Prosise

Jeff Prosise

Jeff is a co-founder of Wintellect who makes his living writing software and helping others do the same. He has trained thousands of developers at Microsoft and spoken at some of the world’s largest software conferences. Jeff’s passion is teaching developers how to build cloud-based apps with Microsoft Azure and introducing them to the wonders of AI and machine learning. In his spare time, Jeff builds and flies large radio-control jets and goes out of his way to get wet in some of the world’s best dive spots. He loves the smell of jet fuel in the morning.

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John Garland

John Garland

John is a principal consultant at Wintellect and a Windows Platform Development MVP. Prior to consulting, John spent much of his career working on high-performance video and statistical analysis tools for leading sports teams, with an emphasis on the NFL, the NBA, and Division 1 NCAA Football and Basketball. His consulting clients range from small businesses to Fortune 500 companies, and his work has been featured at Microsoft conference keynotes and sessions. He is a member of Microsoft’s Azure Insiders group and the Azure Mobile Services Advisory Board, and he was co-author of the book Programming the Windows Runtime by Example.

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