Microsoft

Develop natural language solutions in Azure (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.

GK #834028Virtual Classroom LiveClassroom Live
FormatsVirtual Classroom Live · Classroom LiveTopicsAI & machine learning

What you’ll learn

Module 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

Module 2: Create question answering solutions with Azure AI Language

  • 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
  • Exercise - Create a question answering solution

Module 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
  • Exercise - Build an Azure AI services conversational language understanding model

Module 4: Create a custom text classification solution

  • Understand types of classification projects
  • Understand how to build text classification projects
  • Exercise - Classify text

Module 5: Custom named entity recognition

  • Understand custom named entity recognition
  • Label your data
  • Train and evaluate your model
  • Exercise - Extract custom entities

Module 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
  • Exercise - Translate text with the Azure AI Translator service

Module 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
  • Exercise - Create a speech-enabled app

Module 8: Translate speech with the Azure AI Speech service

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

Module 9: Develop an audio-enabled generative AI application

  • Deploy a multimodal model
  • Develop an audio-based chat app
  • Exercise - Develop an audio-enabled chat app

Upcoming training

Dates and availability are confirmed by Bolt when we follow up. All times are shown in the provider’s stated time zone.

2026-11-02 — 2026-11-029:00 AM - 5:00 PM EST
Virtual Classroom LiveONLINE · English
2027-01-08 — 2027-01-088:30 AM - 4:30 PM EST
Virtual Classroom LiveONLINE · English
2027-02-25 — 2027-02-258:30 AM - 4:30 PM EST
Virtual Classroom LiveONLINE · English
2027-04-08 — 2027-04-088:30 AM - 4:30 PM EDT
Virtual Classroom LiveONLINE · English
2027-05-20 — 2027-05-20May 20, 2027
Virtual Classroom LiveONLINE · English
2027-07-08 — 2027-07-08July 08, 2027
Virtual Classroom LiveONLINE · English
2027-08-19 — 2027-08-19August 19, 2027
Virtual Classroom LiveONLINE · English
2027-09-24 — 2027-09-24September 24, 2027
Virtual Classroom LiveONLINE · English
2027-11-12 — 2027-11-12November 12, 2027
Virtual Classroom LiveONLINE · English
2027-12-17 — 2027-12-17December 17, 2027
Virtual Classroom LiveONLINE · English