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Azure AI Language
Rating: 4.5 out of 5(113 ratings)
619 students

Azure AI Language

APL-3003. Use portal, Python and C#. Extract information, classify text, ask questions, summarize text-Azure AI Language
Last updated 7/2026
English

What you'll learn

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

Course content

7 sections48 lectures3h 21m total length
  • Introduction2:27
  • Welcome to Udemy0:48
  • How to get the best out of your Udemy course3:05
  • Do you want auto-translated subtitles in more languages?1:20
  • Curriculum3:47
  • Resources0:08

Requirements

  • There are no requirements for watching the course.
  • We'll look at how you can get a free trial of Azure for use in this course.
  • If you want to use the code in this course, you will need a Windows machine or some Linux systems. You cannot currently use this code on MacOS, Android or iOS devices. However, you can watch the videos in this course on these devices.

Description

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.

Note: this Applied Skill credential was retired on 30 June 2026. However, the information in this course is still useful to learn how to use 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.

Who this course is for:

  • This is for you if you want extract key phrases, linked or named entities, PII (personally identifiable information), classify text, including analyzing sentiment, answer questions and summarize text.
  • This course will guide you through the skills required for the Microsoft Applied Skills credential "Build a natural language processing solution with Azure AI Language".