AI-3003 Build a natural language processing solution with Azure AI Services (UT-Azure-AI-3003)

Course Description

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

Course Outline

1 - Analyze text with Azure AI Language

• Provision an Azure AI Language resource

• Detect language

• Extract key phrases

• Analyze sentiment

• Extract entities

• Extract linked entities

2 - Build a question answering solution

• Understand question answering

• Compare question answering to Azure AI Language understanding

• Create a knowledge base

• Implement multi-turn conversation

• Test and publish a knowledge base

• Use a knowledge base

• Improve question answering performance

3 - Build a conversational language understanding model

• Understand prebuilt capabilities of the Azure AI Language service

• Understand resources for building a conversational language understanding model

• Define intents, utterances, and entities

• Use patterns to differentiate similar utterances

• Use pre-built entity components

• Train, test, publish, and review a conversational language understanding model

4 - Create a custom text classification solution

• Understand types of classification projects

• Understand how to build text classification projects

5 - Create a custom named entity extraction solution

• Understand custom named entity recognition

• Label your data

• Train and evaluate your model

6 - Translate text with Azure AI Translator service

• Provision an Azure AI Translator resource

• Understand language detection, translation, and transliteration

• Specify translation options

• Define custom translations

7 - Create speech-enabled apps with Azure AI services

• Provision an Azure resource for speech

• Use the Azure AI Speech to Text API

• Use the text to speech API

• Configure audio format and voices

• Use Speech Synthesis Markup Language

8 - Translate speech with the Azure AI Speech service

• Provision an Azure resource for speech translation

• Translate speech to text

• Synthesize translations

Course Prerequisites

• Familiarity with Azure and the Azure portal.
• Experience programming with C# or Python.

Course Information

Length: 1 day

Format: Lecture and Lab

Delivery Method: n/a

Max. Capacity: 16