Developing AI Applications on Azure

Start Date: 07/05/2020

Course Type: Common Course

Course Link:

Explore 1600+ online courses from top universities. Join Coursera today to learn data science, programming, business strategy, and more.

About Course

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models.

Course Syllabus

Introduction to Artificial Intelligence
Standardized AI Processes and Azure Resources
Azure Cognitive APIs
Azure Machine Learning Service: Model Training
Azure Machine Learning Service: Model Management and Deployment

Deep Learning Specialization on Coursera

Course Introduction

Developing AI Applications on Azure This course is the third course in the specialization about developing applications on the Microsoft Azure platform. In this course, we will focus on three main topics: 1. Describing the state of the art in AI applications on Azure; 2. Implementing AI into your own applications (i.e., as a service); 3. Using Azure IoT Core for machine learning and/or artificial intelligence; We will use Azure Machine Learning as a service (MLaaS) offering. This service is available for a very low monthly fee and includes the DLNA, IPL and AWS services. By the end of this course, you will: 1. Understand the state of the art in AI applications on Azure; 2. Implement AI into your own applications (i.e., as a service), (Amazon AWS services), and (DLNA, IPL and AWS services); 3. Use Azure IoT Core for machine learning and/or artificial intelligence; We will use Unity as our C#/Jupyter notebook environment. This will allow you to run your own machine learning/AI code and interact with the data in the favorite notebook (the one in the course) of your choice. Note that this course does not include discussion forums. If you have questions about course content, please post a question in the forums. Note that this course does not include discussion forums. If you have questions

Course Tag

Related Wiki Topic

Article Example
Microsoft Azure The Microsoft Azure Service Bus allows applications running on Azure premises or off premises devices to communicate with Azure. This helps to build scalable and reliable applications in a service-oriented architecture (SOA). The Azure service bus supports four different types of communication mechanisms:
Azure Search In 2008 Microsoft rolled out the Azure platform with a cloud based component code-named project Red Dog. The years leading up to 2013 were spent developing the Azure framework within the scope of a Microsoft environment. In 2013 Microsoft issued a general announcement announcing IaaS and detailing new features of Azure, including the new Azure Search.
Microsoft Azure Microsoft Azure uses a specialized operating system, called Microsoft Azure, to run its "fabric layer": a cluster hosted at Microsoft's data centers that manages computing and storage resources of the computers and provisions the resources (or a subset of them) to applications running on top of Microsoft Azure. Microsoft Azure has been described as a "cloud layer" on top of a number of Windows Server systems, which use Windows Server 2008 and a customized version of Hyper-V, known as the Microsoft Azure Hypervisor to provide virtualization of services.
Microsoft Azure SQL Database Microsoft Azure SQL Database (formerly SQL Azure, SQL Server Data Services, SQL Services, and Windows Azure SQL Database) is a managed cloud database for app developers that makes building and maintaining applications easier and more productive.
Microsoft Azure Web Sites When Microsoft started allocating resources into developing its numerous cloud solutions, a group was formed in Microsoft Azure to develop Microsoft Azure Web Sites. Microsoft Azure Web Sites was announced in June 2012 as a preview release.
Windows Azure Caching Windows Azure Caching was an in-memory, distributed caching feature designed for Windows Azure applications. Caching was available as a part of the Windows Azure SDK. The Azure Managed Cache and In-Role Cache services were retired, and Microsoft recommended migration to Azure Redis Cache.
Microsoft Azure Azure was announced in October 2008 and released on February 1, 2010 as Windows Azure, before being renamed to Microsoft Azure on March 25th 2014.
Azure Moon The song "Azure Moon" is Every Little Thing's 29th single released by the Avex Trax label. "Azure Moon" was a ballad single that also included a special acoustic version of their 2003 single "Soraai" for Every Little Thing's concert "Every Little Thing X'mas Acoustic Live at Uragami Tenshudou: Ai no Uta", which took place at Nagasaki on December 11, 2005. The single peaked in 12th place on its first week at the charts and sold 17,212 copies.
Azure Ray (album) Azure Ray is Azure Ray's self-titled debut. It was released January 16, 2001 on WARM.
Azure (color) On the , "azure" (color #007FFF) is defined as the color at 210 degrees, i.e., the hue halfway between blue and cyan. In the RGB color model, used to create all the colors on a television or computer screen, azure is created by adding a little green light to blue light. The complementary color of azure is neon orange.
Works Applications Works Applications Co., Ltd. ( UK : .. Works Applications Co, Ltd ) headquartered in Tokyo, Minato-ku, is the largest ERP system manufacturer in Japan. Its product AI WORKS is one of a kind AI powered ERP system which aims at high speed and usability in enterprise applications. It is also a one-of-its-kind and the first AI powered cloud-based enterprise productivity system (EPS).Works Applications has business in the development, sales and support package system .
Azure Vista Azure Vista is an album by Manual. It was released by Darla on 3 May 2005.
Azure Ray Azure Ray's six-song EP, "As Above So Below", was released on September 5, 2012, on Saddle Creek Records.
Azure (color) This color is on the color wheel () halfway between azure and cyan.
William Appleton (entrepreneur) Appleton is also credited with developing the first third-party enterprise applications for Cisco WebEx Connect, Microsoft Windows Azure and Intuit WorkPlace. Throughout his career, Appleton has worked with Disney, Paramount and Viacom to create applications for content development.
Azure Search Azure Search supports geo-spatial information. This allows users to explore data based on a specified geographic location. An overview of Geo-spatial support can be found in Azure Search and Geo-spatial Data.
Bentley Azure The Azure had no immediate successor. However, at the 2014 L.A. Auto Show, Bentley unveiled a concept car built on the Mulsanne platform that follows the same formula as the two generations of Azure that proceeded it. Bentley did not use the Azure name again with the concept, simply calling it the Bentley Grand Convertible.
Mozilla Azure The Mozilla Azure project is a stateless low-level graphics abstraction API used in Firefox. The project has several objectives including more accurate Direct2D compatibility, optimized state interoperability, and improved control over performance characteristics and bugs. Azure will provide 2D hardware acceleration on top of 3D graphics backends. Firefox began using Azure for Cairo in 2012.
Microsoft Azure Web Sites Microsoft Azure Web Sites is implemented as websites that are dynamically created on-demand on servers running Windows Server 2012 and IIS 8.0. When a client posts a request to a web site, Microsoft Azure Web Sites dynamically provisions the site on one of the Azure virtual machines pointing it at content stored in Azure Storage containers. The Azure Virtual Machines are deployed in groups called "Stamps", which may contain hundreds of such machines. Microsoft deploys these stamps in its Azure data centers across the world, and adds more stamps as demand grows.
Azure Power On October 12, 2016, Azure Power launched an Initial Public Offering (IPO), enabling the first listing of Indian energy assets on the New York Stock Exchange. With this, Azure Power also became the first renewable energy company to IPO in the US since August 2015. Azure Power tied-up approximately US$ 161 million as part of its pre-IPO, initial public offering and concurrent private placement. The majority of the proceeds were used to continue development of solar power plants in India.