Udemy

Microsoft Applied Skills: Azure AI Language

立即報名
  • 538 名學生
  • 更新於 12/2024
4.6
(100 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
3 小時 21 分鐘
教學語言
英語
授課導師
Phillip Burton • over one million students so far, I Do Data Limited
評分
4.6
(100 個評分)
1次瀏覽

課程簡介

Microsoft Applied Skills: Azure AI Language

APL-3003. Use portal, Python and C#. Extract information, classify text, ask questions, summarize text-Azure AI Language

Microsoft Azure allows you to extract information from your text. Among other things, you can classify and summarize text, and ask it questions.

In this 3 hour course we’ll cover the skills that you need for the APL-3003 Microsoft Applied Skills credential for building a natural language processing solution with Azure AI Language.

It will also help with the Microsoft exam AI-102 "Designing and Implementing a Microsoft Azure AI Solution".

Please note: This course is not affiliated with, endorsed by, or sponsored by Microsoft.


  • First, we’ll sign up for a free Azure subscription. Then, we’ll create a Language resource, and use it to analyze text. We’ll use the pre-built models to detect the language, extract key phrases, recognise entities and sentiment, and more.

  • After that, we’ll analyze the text using Python and C#. We connect to the Language resource and analyse text, extracting the information for use in our own programmes.

  • Finally, we’ll create our own custom models for text classification and named entity recognition extraction. We’ll upload documents into an Azure Storage Account container, train the model based on labels, and test it using the portal, Python and C#.

There are several practice activities and quizzes throughout the course, so you can be sure that you are learning.

By the end of the course, you'll be able to analyse your own text in the portal and using Python and C#, and perhaps even take the official Microsoft assessment. That would look great on your CV or resume.

課程章節

  • 7 個章節
  • 48 堂課
  • 第 1 章 Introduction
  • 第 2 章 Installing Azure AI Language, and detecting Language
  • 第 3 章 2. Other prebuilt models - Part 1
  • 第 4 章 2. Other prebuilt models - Part 2
  • 第 5 章 Custom text classification
  • 第 6 章 Custom NER
  • 第 7 章 Congratulations for completing the course

課程內容

  • Deploy a language resource
  • Use prebuilt models
  • Create a custom text classification solution
  • Create a custom named entity recognition (NER) solution


評價

  • J
    Jeannepaula Generoso
    5.0

    good

  • Ł
    Łukasz Szczygieł
    5.0

    This is yet another course I've taken from this provider, and once again, their content did not disappoint me. This particular course offers clear and detailed coverage of all the essential areas, and I found it especially helpful as a refresher before taking the Applied Skills test.

  • T
    Thomas Gorham
    4.0

    interesting

  • L
    Lakshmi Murali
    5.0

    very clear explanation of Azure Portal!

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