Azure AI Fundamentals: Azure Natural Language Processing

Azure 2024    |    Beginner
  • 14 videos | 1h 24m 41s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 2 users Rating 5.0 of 2 users (2)
A powerful feature of machine learning is natural language processing (NLP). NLP 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 NLP in Azure, use cases for NLP, the Azure AI language service, and the Azure AI speech service. Then you'll explore working with Azure Text Analytics, key phrase extraction, named entity recognition (NER), and sentiment analysis and opinion mining. Finally, you'll discover how to train a language model, features of the Azure AI Translator Service, how to translate text, and how to translate speech. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe the purpose and features of natural language processing (nlp)
    Identify the uses and challenges of natural language processing (nlp)
    Recognize the capabilities of the azure ai language service
    Provide an overview of the azure speech service and azure cognitive language service
    Use azure text analytics to extract key phrases
    Use key phrase extraction with the azure ai language service
  • Use named entity recognition (ner) with the azure ai language service
    Use sentiment analysis with the azure ai language service
    Train a language model with the azure ai language service
    Outline capabilities of the azure ai translator service
    Use the azure ai translator service to translate text
    Use the azure ai translator service to translate speech
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 8s
    discover the key concepts covered in this course FREE ACCESS
  • 6m 18s
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    3.  Use Cases for Natural Language Processing
    6m 56s
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    4.  Azure AI Language Service
    7m
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    5.  Azure AI Speech Service
    6m 35s
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    6.  Working with Azure Text Analytics
    6m 54s
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    7.  Using Key Phrase Extraction
    6m 43s
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    8.  Using Named Entity Recognition (NER)
    7m 14s
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    9.  Using Sentiment Analysis and Opinion Mining
    7m 10s
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    10.  Training a Language Model
    7m 13s
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    11.  Exploring Azure AI Translator Service
    6m 31s
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    12.  Translating Text
    7m 53s
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    13.  Translating Speech
    6m 25s
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    14.  Course Summary
    42s

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