Implementing Azure Cognitive Services for Language [Video]

More Information
  • Identify language, intent, entities, and key phrases in the text to process the user's input and perform sentiment analysis
  • Detect language and translate text across more than 60 languages to provide real-time translation in your application
  • Identify profane content in text, images, and videos to fix common textual mistakes automatically
  • Use machine learning to check spelling and grammar while dealing with slang words and common expressions
  • Create an application that can respond to natural language instructions
  • Create a LUIS application in the LUIS portal and deploy it with the prediction endpoint
  • Create an application that can respond to natural language instructions

Microsoft Cognitive Services APIs allow developers to leverage the power of artificial intelligence to create apps that can more effectively understand and interpret the needs of users. Even the simplest of business applications can have a global reach, requiring developers to consider the culture and languages across regions.

This course focuses on how to implement Cognitive Services in your business or organization for day-to-day operations based on language-related services. In this course, you'll learn how to understand, configure, utilize, and work with text analysis, translator text, content moderation, Bing spell check and the Language Understanding Intelligence Service (LUIS). You'll learn the type of data that these APIs analyze, what scenarios they are best suited for, and how to leverage them in your code. You will be able to detect language, key phrases, entities, and sentiment and translate between languages in real-time. You'll delve into the exciting Language Understanding Intelligence Service (LUIS), which allows apps to accept a user's input in natural language.

By the end of this course, you'll gain foundational knowledge of the text analytics API that will help you take your overall understanding of the Microsoft Cognitive Services suite to the next level.

The code bundle for this course is available at

  • Enhance your applications with web-scale machine learning and learn to check spelling and grammar
  • Enhance and provide a better service to your customer base using Azure Cognitive Services for language
  • Build an application and add natural language processing to your applications
Course Length 2 hours 27 minutes
ISBN 9781838558864
Date Of Publication 30 Aug 2019


James Millar

James Millar is a freelance software developer working on web, mobile, and end-user desktop applications across all platforms. He is an experienced full-stack .NET contractor with extensive experience of both Amazon web services and Microsoft's Azure cloud platform. He has experience with the full .NET stack, having worked on web, desktop, and mobile projects; with high-throughput IoT applications; and with building applications and services that perform at scale. He is passionate about the cloud and has worked on high-profile projects for some of the world's best-known brands. In his spare time, he loves sailing and cooking.