Designing and Implementing a Microsoft Azure AI Solution

Course Description
In this course you will learn how to design and implement Artificial Intelligence solutions on Microsoft Azure. AI is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.

Watch this video presentation from the pilot phase of the program:

• some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure.
• some considerations for designing and implementing AI solutions responsibly.
• how to provision, secure, monitor, and deploy cognitive services.
• how to use cognitive services to analyze and translate text.
• explore of natural language processing capabilities by learning how to build speech-enabled applications.
• how to use the Language Understanding service to create an app that can identify user intent from natural language input.
• explore how the QnA Maker service enables the development of this kind of solution.
• explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.
• start your exploration of computer vision by learning how to use cognitive services to analyze images and video.
• explore the Custom Vision service, and how to use it to create custom image classification and object detection models.
• explore the user of cognitive services to identify human faces.
• explore cognitive services that can be used to detect and read text in images, documents, and forms.

Who is this course for?
This course is suitable for software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

• Knowledge of Microsoft Azure and ability to navigate the Azure portal (or course Azure fundamentals AZ900)
• Knowledge of either C# or Python
• Familiarity with JSON and REST programming semantics

To gain or improve your C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals AI-900 before taking this one.