Microsoft Applied Skills: Azure AI Language

سرفصل های دوره

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

1. Introduction

1. Introduction

2. Welcome to Udemy.html

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

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

5. Curriculum

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

2. Creating an Azure AI Language resource

3. Exploring the Language Studio and Detecting Language

4. Installing Visual Studio Code and copying connection details

5. Detecting Language using Python

6. Detecting Language using C#

7. Practice Activity Number 1.html

8. Practice Activity Number 1 - The Solution

3. Other prebuilt models - Part 1

1. Understand questions and conversational language

2. Summarising conversations

3. Extracting Key Phrases

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

5. Using Key Phrases in our C# code

6. Named Entity Recognition (NER) - prebuilt

7. Using NER in our Python code

8. Using NER in our C# code

9. Key Phrases and Named Entity Recognition.html

4. Other prebuilt models - Part 2

1. Personally Identifiable Information (PII) detection

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

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

4. Entity linking

5. Using Entity linking in our Python code

6. Using Entity linking in our C# code

7. Sentiment analysis and opinion mining

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

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

10. PII, Entity linking and Sentiment analysis.html

5. Custom text classification

1. Uploading documents and creating a new text classification project

2. Labelling Documents and Creating a Training Job

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

4. Using Custom text classification in our Python code

5. Using Custom text classification in our C# code

6. Practice Activity Number 2.html

7. Practice Activity Number 2 - The Solution

6. Custom NER

1. Uploading documents and labelling documents in a custom NER

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

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

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

5. Practice Activity Number 3.html

6. Practice Activity Number 3 - The Solution

7. Custom text classification and NER.html

7. Congratulations for completing the course

1. Other custom capabilities and Deleting Azure resources

2. Whats Next

3. Congratulations for completing the course

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تولید کننده: Udemy