Cloud Private Public

Develop Natural Language Solutions in Azure (AI-3003)

1 day
AIAzure

Develop natural language solutions with Azure Language, Speech, MCP servers, Voice Live, and Microsoft Foundry tools for text, speech, and translation.

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$681.10
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Course Overview

This one-day course explores how to develop natural language solutions with Azure and Microsoft Foundry tools. Learn to analyze text, build text and speech agents with MCP servers, create speech-capable applications, work with Voice Live, and translate text and speech.

Course Benefits

  • Analyze text by detecting language, extracting key phrases and entities, and evaluating sentiment.
  • Develop a text analysis agent using the Azure Language MCP server.
  • Build generative AI applications that can transcribe and synthesize speech.
  • Create speech-enabled applications with Azure Speech APIs, configurable voices, audio formats, and Speech Synthesis Markup Language.
  • Develop a speech agent using the Azure Speech MCP server.
  • Create a Voice Live agent with the Azure Voice Live API and Python client library.
  • Translate text and speech with Microsoft Foundry tools.

Delivery Methods

Public Class
Live expert-led online training from anywhere. Guaranteed to run .
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).

Microsoft Certified Partner

Course Outline

  1. Analyze Text with Azure Language in Foundry Tools
    1. Azure Language in Microsoft Foundry Tools
    2. Detect language
    3. Extract key phrases
    4. Analyze sentiment
    5. Extract entities
    6. Extract linked entities
    7. Module assessment
  2. Develop a Text Analysis Agent with the Azure Language MCP Server
    1. Understand the Azure Language MCP server
    2. Connect and use the Language MCP server with an agent
  3. Develop a Speech-Capable Generative AI Application
    1. Choose a speech-capable model
    2. Transcribe speech
    3. Synthesize speech
    4. Module assessment
  4. Create Speech-Enabled Apps with Azure Speech in Microsoft Foundry Tools
    1. Azure Speech in Foundry Tools
    2. Use the Speech to Text API
    3. Use the Text to Speech API
    4. Configure audio format and voices
    5. Use Speech Synthesis Markup Language
    6. Module assessment
  5. Develop a Speech Agent with the Azure Speech MCP Server
    1. Understand the Azure Speech MCP server
    2. Connect and use the Speech MCP server with an agent
  6. Develop an Azure Speech Voice Live Agent in Microsoft Foundry
    1. Explore the Azure Voice Live API
    2. Explore the AI Voice Live client library for Python
    3. Create a Voice Live agent
    4. Module assessment
  7. Translate Text and Speech with Microsoft Foundry Tools
    1. Translation in Microsoft Foundry
    2. Translate text
    3. Translate speech
    4. Module assessment

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 Azure class:

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

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