IT Professional Curricula     Internet and Network Technologies Solution Area     Cloud Computing     AI-900: Azure AI Fundamentals

---

A powerful feature of machine learning is Natural Language Processing. Natural language processing allows computers to identify and process natural language and can be used for speech-to-text and text-to-speech processing, sentiment analysis, and translation. In this course, you'll learn about the features, uses, and challenges of NLP and the Azure services supporting NLP. You’ll also explore intents and entities. In particular, you'll learn to train models using the Azure services for text analytics, speech-to-text, text-to-speech, sentiment analysis, and translation. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.

---

---

Objectives

AI-900: Azure AI Fundamentals: Natural Language Processing discover the key concepts covered in this course describe the features of Natural Language Processing (NLP) identify the uses and challenges of NLP describe the features of the NLP services provided by Azure identify NLP features used for handling phase extraction, entity recognition, and intents configure and train a language model use the Text Analytics service to extract key phrases describe the features and uses of the Azure Translator Service for translating text use the Translator Service to translate text use the Translator Service to translate speech summarize the key concepts covered in this course