Microsoft
Development
General
Develop natural language processing solutions with Azure AI Services (AI-3003)

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.

About the course

Prerequisites:

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


 Skills Covered 

  • Detect language from text 
  • Analyze text sentiment 
  • Extract key phrases, entities, and linked entities 
  • 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. 
  • 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 
  • 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 
  • Understand tagging entities in extraction projects 
  • Understand how to build entity recognition projects 
  • Provision a Translator resource 
  • Understand language detection, translation, and transliteration 
  • Specify translation options 
  • Define custom translations 
  • 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) 
  • Provision Azure resources for speech translation. 
  • Generate text translation from speech. 
  • Synthesize spoken translations. 


Course content

Analyze text with Azure AI Language

  • Provision an Azure AI Language resource
  • Detect language
  • Extract key phrases
  • Analyze sentiment
  • Extract entities
  • Extract linked entities

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

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

Create a custom text classification solution

  • Understand types of classification projects
  • Understand how to build text classification projects

Create a custom named entity extraction solution

  • Understand custom named entity recognition
  • Label your data
  • Train and evaluate your model

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

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

Translate speech with the Azure AI Speech service

  • Provision an Azure resource for speech translation
  • Translate speech to text
  • Synthesize translations