Build a natural language processing solution with Azure AI Services

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

Course Length: 1 day
Delivery Methods: Multiple delivery options
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
  • Analyze textual data efficiently using Azure AI Language capabilities.
  • Build sophisticated text and language processing models without extensive coding.
  • Enhance customer service through automated question answering systems.
  • Create robust, multi-turn conversational systems to simulate real human interaction.
  • Benefit from machine learning to perform accurate text classifications and named entity recognition.
  • Overcome language barriers by translating text in real time with Azure AI Translator.
  • Develop speech-enabled applications to broaden accessibility and user interaction.
  • Instantly translate spoken language, facilitating seamless international communication.
Available Delivery Methods
Public Class
Public expert-led online training from the convenience of your home, office or anywhere with an internet connection. Guaranteed to run .
Private Class
Private classes are delivered for groups at your offices or a location of your choice.
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. Build a question answering solution
    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 a custom text classification solution
    1. Understand types of classification projects
    2. Understand how to build text classification projects
  5. Create a custom named entity extraction solution
    1. Understand custom named entity recognition
    2. Label your data
    3. Train and evaluate your model
  6. Translate text with Azure AI Translator service
    1. Provision an Azure AI Translator resource
    2. Understand language detection, translation, and transliteration
    3. Specify translation options
    4. 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
Class Materials

Each student will receive a comprehensive set of materials, including course notes and all the 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.
Live Public Class
$681.10 / student
Please select a class.
Live Private Class
  • Private Class for your Team
  • Live training
  • Online or On-location
  • Customizable
  • Expert Instructors
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