Web and Data Application Development with Visual Studio 2017 and Azure

  • 2016-12-07
  • 658

Web and Data Application Development with Visual Studio 2017 and Azure

If you’d like to learn application development, end to end, be sure to take this course. Get a look at a number of cloud-based technologies, see practical demonstrations, and dig into what’s new in Visual Studio 2017, in this course, part of Connect(); //2016 Day 3.

In six in-depth modules, take a look at the interoperability of many tools, platforms, and APIs. From .NET Core and the power of Application Insights to Azure SQL, SQL Server 2016, and Azure Storage, get helpful insights into the Microsoft ecosystem. Plus, learn about Power BI and Office Graph, Azure Search, Docker, and much more. Take this opportunity to see how these fit together, as you build a solution, from start to finish, and explore full-stack development with the experts, in this Azure for developers course.

1 | .NET Core & Application Insights
We start this course by building a site with ASP.NET Core that accepts photo uploads. We then include Application Insights and deploy it to Azure as an Azure Web App from Visual Studio 2017.

2 | Azure SQL & SQL Server 2016 & Azure Storage
In this module we modify the site built in session #1 to queue each uploaded image in an Azure Storage Queue (for scalability) and store it in SQL Server 2016.

3 | Azure Functions & Cognitive Services
Here we write an Azure Function that gets triggered by changes to the Azure Storage Queue in Session #2, sends each image to Cognitive Services for processing to caption each image, generate tags.

4 | Power BI & Office Graph
Next we enhance the ASP.NET Core Site to allow users to store final analyzed and tagged images to OneDrive/OneDrive for Business via Office Graph and use Power BI Desktop to visualize the data stream.

5 | Azure Search & Language Understanding Intelligent Services (LUIS)
Now we add a search UI to the site and use Azure Search over the tags in blob metadata to allow users to display photos that match the search term. Use LUIS to support natural-language queries.

6 | Docker & Azure Container Registry & Linux & SQL Server
Package the photo-upload site in a Docker image and deploy it to the Azure Container Service to run in a Linux container,deploy SQL Server schema and associated entities to SQL Server for Linux.


Explore .NET Core and Application Insights.
Take a look at Azure SQL, SQL Server 2016, and Azure Storage.
Learn about Azure Functions and Cognitive Services.
Find out about Power BI and Office Graph.
Get an introduction to Azure Search and Language Understanding Intelligences Services (LUIS).
Get the details on Docker, Azure Container Registry, Linux, and SQL Server.



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