Build a Natural Language Processing Solution with Azure AI Services (AI-3003)

This course is for IT professionals looking to learn how to build AI solutions in Azure AI Services.

Description

 

Students will learn to,

  • Analyze text with Azure AI Language
  • Create question answering solutions with Azure AI Language
  • Build a conversational language understanding model
  • Create a custom text classification solution
  • Custom named entity recognition
  • Translate text with Azure AI Translator service
  • Create speech-enabled apps with Azure AI services
  • Translate speech with the Azure AI Speech service

 

 

Course Outline

 

Module 1: Analyze text with Azure AI Language

  • Detect language from text
  • Analyze text sentiment
  • Extract key phrases, entities, and linked entities

 

Module 2: Create question answering solutions with Azure AI Language

  • Understand question answering and how it compares to language understanding.
  • Create, test, publish, and consume a knowledge base.
  • Implement multi-turn conversation and active learning.
  • Create a question answering bot to interact with using natural language.

 

Module 3: Build a conversational language understanding model

  • Provision Azure resources for Azure AI Language resource
  • Define intents, utterances, and entities
  • Use patterns to differentiate similar utterances
  • Use pre-built entity components
  • Train, test, publish, and review an Azure AI Language model

 

Module 4: Create a custom text classification solution

  • Understand types of classification projects
  • Build a custom text classification project
  • Tag data, train, and deploy a model
  • Submit classification tasks from your own app

 

Module 5: Custom named entity recognition

  • Understand tagging entities in extraction projects
  • Understand how to build entity recognition projects

 

Module 6: Translate text with Azure AI Translator service

  • Provision a Translator resource
  • Understand language detection, translation, and transliteration
  • Specify translation options
  • Define custom translations

 

Module 7: Create speech-enabled apps with Azure AI services

  • Provision an Azure resource for the Azure AI Speech service
  • Use the Azure AI Speech to text API to implement speech recognition
  • Use the Text to speech API to implement speech synthesis
  • Configure audio format and voices
  • Use Speech Synthesis Markup Language (SSML)

 

Module 8: Translate speech with the Azure AI Speech service

  • Provision Azure resources for speech translation.
  • Generate text translation from speech.
  • Synthesize spoken translations.

 

 

Prerequisites

 

Before starting this learning path, you should already have:

 

  • Familiarity with Azure and the Azure portal.
  • Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.

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