Microsoft Applied Skills: Azure AI Language

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Phillip Burton

3:15:36

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1. Introduction

1. Introduction.mp4

02:27

2. Welcome to Udemy.html

3. How to get the best out of your Udemy course.mp4

02:00

4. Do you want auto-translated subtitles in more languages.html

5. Curriculum.mp4

03:47

6.1 AzureAINatCSharpCodeUsed240307.pdf

6.2 AzureAINatLangNotes240307.pdf

6.3 AzureAINatPythonCodeUsed240307.pdf

6.4 Text files.zip

6. Resources.html

2. Installing Azure AI Language, and detecting Language

1. Creating an Azure account, and exploring Azure interface.mp4

06:52

2. Creating an Azure AI Language resource.mp4

07:11

3. Exploring the Language Studio and Detecting Language.mp4

07:38

4. Installing Visual Studio Code and copying connection details.mp4

04:09

5. Detecting Language using Python.mp4

09:54

6. Detecting Language using C#.mp4

11:38

7. Practice Activity Number 1.html

8. Practice Activity Number 1 - The Solution.mp4

06:07

3. Other prebuilt models - Part 1

1. Understand questions and conversational language.mp4

03:53

2. Summarising conversations.mp4

04:43

3. Extracting Key Phrases.mp4

02:15

4. Using Key Phrases in our Python code, and creating an environment file.mp4

05:10

5. Using Key Phrases in our C# code.mp4

03:31

6. Named Entity Recognition (NER) - prebuilt.mp4

04:44

7. Using NER in our Python code.mp4

04:05

8. Using NER in our C# code.mp4

04:04

9. Key Phrases and Named Entity Recognition.html

4. Other prebuilt models - Part 2

1. Personally Identifiable Information (PII) detection.mp4

04:19

2. Using PII in our Python code, and adding a condition.mp4

02:54

3. Using PII in our C# code, and adding a condition.mp4

03:26

4. Entity linking.mp4

03:32

5. Using Entity linking in our Python code.mp4

02:33

6. Using Entity linking in our C# code.mp4

02:44

7. Sentiment analysis and opinion mining.mp4

04:55

8. Using Sentiment analysis and opinion mining in our Python code.mp4

05:41

9. Using Sentiment analysis and opinion mining in our C# code.mp4

08:14

10. PII, Entity linking and Sentiment analysis.html

5. Custom text classification

1. Uploading documents and creating a new text classification project.mp4

06:35

2. Labelling Documents and Creating a Training Job.mp4

04:18

3. Investigating Model Performance, Deploying a Model, and Testing the Deployment.mp4

04:59

4. Using Custom text classification in our Python code.mp4

05:39

5. Using Custom text classification in our C# code.mp4

04:57

6. Practice Activity Number 2.html

7. Practice Activity Number 2 - The Solution.mp4

04:49

6. Custom NER

1. Uploading documents and labelling documents in a custom NER.mp4

07:20

2. Training, assessing model performance, deploying a model and testing deployment.mp4

04:26

3. Using Custom NER in our Python code, and adding comments.mp4

03:38

4. Using Custom NER in our C# code, and adding comments.mp4

04:12

5. Practice Activity Number 3.html

6. Practice Activity Number 3 - The Solution.mp4

04:52

7. Custom text classification and NER.html

7. Congratulations for completing the course

1. Other custom capabilities and Deleting Azure resources.mp4

03:33

2. Whats Next.mp4

02:52

3. Congratulations for completing the course.mp4

01:00

Description

Use the portal, Python and C# to extract information, classify text, ask questions, and summarize text-Azure AI Language

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

Who is this 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".

What You Need to Know?

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.

More details

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 weâ€™ll cover the skills that you need for the 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".

First, weâ€™ll sign up for a free Azure subscription. Then, weâ€™ll create a Language resource, and use it to analyze text. Weâ€™ll use the pre-built models to detect the language, extract key phrases, recognise entities and sentiment, and more.
After that, weâ€™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, weâ€™ll create our own custom models for text classification and named entity recognition extraction. Weâ€™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".

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Natural Language Processing

Microsoft Azure

Phillip Burton

Instructor's Courses

Hi. I'm Phillip, and I'm proud to Teach with Udemy as a Udemy Instructor Partner. I have been teaching on Udemy since 2015, and I have over 500,000 students and more than 40 video courses, including over a dozen Bestseller courses.My courses include Power BI, Tableau, SQL Server, Power Platform (Power Apps, Power Automate, etc.), Azure, Microsoft Office, and more. Many of my courses follow requirements for official Microsoft certifications - so with a bit of practice, you could enter the exam and put it on your CV or resume.I have been a Computing Consultant providing expert services in the development of computer systems and data analysis. I am one of 9 award winning Experts for Experts Exchange's 11th Annual Expert Awards. My interests are working with data, including Microsoft Power BI, Excel, Access, SQL Server, and the Power Platform.

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