AI Private

Develop natural language solutions in Azure (AI-3003)

Course Length: 1 day

Learn to build NLP solutions with Azure AI, harnessing Language Understanding to create powerful language models for your apps.

Develop natural language solutions in Azure

Register or Request Training

  • Private class for your team
  • Live expert instructor
  • Online or on‑location
  • Customizable agenda
  • Proposal turnaround within 1–2 business days

Course Overview

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 Benefits

  • Learn how the Azure AI Language service enables you to create intelligent apps and services that extract semantic information from text.
  • Use the Azure AI Language conversational language understanding (CLU) service to train a model that apps can use to extract meaning from natural language.
  • Build a custom text classification project.
  • Build a custom entity recognition solution to extract entities from unstructured documents.
  • Use the Translator service to create intelligent apps and services that can translate text between languages.
  • Learn how the Azure AI Speech service enables you to build speech-enabled applications using the speech-to-text and text to speech APIs.
  • Learn how to build audio-enabled chat apps that listen and respond to audio.

Delivery Methods

Private Class
Delivered for your team at your site or online.

Microsoft Certified Partner

Webucator is a Microsoft Certified Partner. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Course Outline

  1. Analyze text with Azure AI Language
    1. Provision an Azure AI Language resource
    2. Detect language
    3. Extract key phrases
    4. Analyze sentiment
    5. Extract entities
    6. Extract linked entities
  2. Create question answering solutions with Azure AI Language
    1. Understand question answering
    2. Compare question answering to Azure AI Language understanding
    3. Create a knowledge base
    4. Implement multi-turn conversation
    5. Test and publish a knowledge base
    6. Use a knowledge base
    7. Improve question answering performance
  3. Build a conversational language understanding model
    1. Understand prebuilt capabilities of the Azure AI Language service
    2. Understand resources for building a conversational language understanding model
    3. Define intents, utterances, and entities
    4. Use patterns to differentiate similar utterances
    5. Use pre-built entity components
    6. Train, test, publish, and review a conversational language understanding model
  4. Create custom text classification solutions
    1. Understand types of classification projects
    2. Understand how to build text classification projects
  5. Custom named entity recognition
    1. Understand custom named entity recognition
    2. Train and evaluate your model
  6. Translate text with Azure AI Translator service
    1. Provision an Azure AI Translator resource
    2. Specify translation options
    3. Define custom translations
  7. Create speech-enabled apps with Azure AI services
    1. Provision an Azure resource for speech
    2. Use the Azure AI Speech to Text API
    3. Use the text to speech API
    4. Configure audio format and voices
    5. Use Speech Synthesis Markup Language
  8. Translate speech with the Azure AI Speech service
    1. Provision an Azure resource for speech translation
    2. Translate speech to text
    3. Synthesize translations
  9. Develop an audio-enabled generative AI application
    1. Deploy a multimodal model
    2. Develop an audio-based chat app

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

Class Prerequisites

Experience in the following is required for this AI class:

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

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