Natural Language Processing in Microsoft Azure (Coursera)

Natural Language Processing in Microsoft Azure (Coursera)
Course Auditing
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Certification
Languages
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
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Natural Language Processing in Microsoft Azure (Coursera)
Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language. In this course, you will learn how to use the Text Analytics service for advanced natural language processing of raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection.

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You will learn how to recognize and synthesize speech by using Azure Cognitive Services. You will gain an understanding of how automated translation capabilities in an AI solution enable closer collaboration by removing language barriers. You will be introduced to the Language Understanding service, and shown how to create applications that understand language.

This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the fourth course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains.

This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them.

This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including machine learning and artificial intelligence concepts.


Course 4 of 5 in the Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization


Syllabus


WEEK 1

Text and Speech Processing with Azure AI Services

In this module, you will learn how to use the Text Analytics service for advanced natural language processing over raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You will also learn how to recognize and synthesize speech by using Azure Cognitive Services.


WEEK 2

Work with Language in Azure AI

In this module, we'll introduce you to the Language Understanding service, and show how to create applications that understand language.


WEEK 3

Explore conversational AI

In this module, you will learn how to use Conversational AI ito create artificial intelligence workloads that deals with dialogs between AI agents and human users.



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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
40.00 EUR/month
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.