This course targets software developers that are looking to build edge solutions that can process data and make intelligent decisions. This course will showcase how to develop those solutions using Microsoft Azure.
Over time, what was once simply Internet of Things solutions has evolved into Edge solutions. In this course, Developing an Intelligent Edge in Microsoft Azure, you will learn foundational knowledge of edge computing, how it interacts with data and messaging systems, and how to utilize both with Microsoft Azure. First, you will learn the concepts of edge and internet of things computing. Next, you will discover how to process streaming data on hot, warm, and cold paths. Finally, you will explore how real-time and batch processing can be utilized in an edge solution. When you are finished with this course, you will have the skills and knowledge of edge and internet of things in Azure needed to architect your next edge solution. Software required: Microsoft Azure, .NET
Course Overview Hi everyone. My name is Jared Rhodes, and welcome to my course, Developing Microsoft Azure Intelligent Edge Solutions. I am a Microsoft MVP for Azure at QiMata Technologies, a consulting and training firm based out of Atlanta, Georgia. In this course, we are going to cover edge and IoT architecture in Microsoft Azure. We're going to discuss event ingestion and Azure's IoT Hub. We will go over hot, warm, and cold path architectures and the tools available to implement them in Azure. Then we will cover real-time and batch processing, and how they fit into edge and IoT architectures. By the end of this course, you'll know the concepts of edge and IoT architecture and the tools available to you in Microsoft Azure to implement. Before beginning this course, you should be familiar with the Azure portal and C#. I hope you'll join me on this journey to learn how to implement edge computing in Microsoft Azure, with the Developing Microsoft Azure Intelligent Edge Solutions course, at Pluralsight.