Building Apps with Azure AI Language and Python

Course details

This course provides a comprehensive introduction to Azure AI Language. Learn how to create and manage resources, explore the Azure AI Language Studio, and utilize the Azure AI Language Python SDKs for natural language processing. Practice your new skills along the way with sample code and hands-on challenges. By the end of this course, you'll be prepared to leverage these powerful AI tools and apply them to real-world scenarios.

Learning objectives
Identify common use cases for natural language processing.
Build applications using Azure AI Language's features such as sentiment analysis, key phrases extraction, named entity recognition, document summarization, entity linking, text analytics for health, language detection, PII detection, custom question answering, conversational language understanding, and custom text classification.
Utilize Azure AI Language using the Language Studio and the Python SDK.

Skills covered

Azure AI ServicesTelecommunicationsProgramming FoundationsFull-Stack Web DevelopmentAI Productivity ToolsArtificial Intelligence FoundationsAzureArtificial Intelligence for BusinessArtificial Intelligence (AI)Web DevelopmentProgramming LanguagesNetwork and System AdministrationBusiness Software and ToolsMicrosoftSoftware DevelopmentOne-Off

Concepts

0. Introduction

01 - Build AI applications with Azure AI Language
02 - Prerequisites
03 - How to use Codespaces for this course

1. Introduction to Azure AI Language

04 - What is Azure AI Language
05 - Creating a resource for Azure AI Language

2. Default Features

06 - Explore default features using the Azure AI Foundry portal
07 - Sentiment analysis and opinion mining
08 - Key phrase extraction
09 - Named entity recognition
10 - Text, document, and conversation summarization
11 - Text analytics for health
12 - Entity linking
13 - Language detection
14 - Personally identifiable information (PII) detection
15 - Challenge - Testing the default features of Azure AI Language
16 - Solution - Testing the default features of Azure AI Language

3. Custom Question Answering

17 - Custom question answering using the Language Studio
18 - Custom question answering using Python
19 - Challenge - Custom question answering
20 - Solution - Custom question answering

4. Conversational Language Understanding (CLU)

21 - CLU using the Language Studio
22 - CLU using Python
23 - Challenge - CLU
24 - Solution - CLU

5. Orchestration workflow

25 - Orchestration workflow using the Language Studio
26 - Orchestration workflow using Python
27 - Challenge - Orchestration workflow
28 - Solution - Orchestration workflow

6. Custom Text Classification

29 - Custom text classification using the Language Studio
30 - Custom text classification via the API
31 - Challenge - Custom text classification
32 - Solution - Custom text classification

Conclusion

33 - Summary