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AI-3003: Develop natural language solutions in Azure Training

AI-3003 is about building applications that can read, understand, and respond to human language using Azure AI. You'll work with text analytics, sentiment analysis, and chatbot development through Azure AI Language. It's a practical, hands-on course for anyone who wants to know how these things actually get built.

📘 Azure 👥 145 Enrolled ⏱️ 1 Day 💼 Foundation Level ⭐ 5 | 99 Reviews

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| AI-3003: Develop natural language solutions in Azu

Course Overview

This course trains you to build natural language processing (NLP) applications on Azure AI. You'll work through text analysis, question answering solutions, conversational models, custom text classification, and entity extraction. It also covers speech enabled apps and translation services. Everything is hands-on, so you're writing real solutions, not just reading about them.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

Upcoming Schedules

Start Date Time Duration Mode Price
Apr 03, 2026 9:00 am - 5:00 pm 1 Day online
$599
Apr 17, 2026 9:00 am - 5:00 pm 1 Day online
$599
May 01, 2026 9:00 am - 5:00 pm 1 Day online
$599
May 15, 2026 9:00 am - 5:00 pm 1 Day online
$599
May 29, 2026 9:00 am - 5:00 pm 1 Day online
$599
+ View more schedules

What you will learn

  • Analyze text with Azure AI Language
  • Build a question answering solution
  • Build a conversational language understanding model
  • Create a custom text classification solution
  • Create a custom named entity extraction solution
  • Translate text with Azure AI Translator service
  • Create speech-enabled apps with Azure AI services
  • Translate speech with the Azure AI Speech service

Who Should Attend This Course?

  • AI Engineer
  • Software Developer

Prerequisites

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

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📘 AI-3003: Develop natural language solutions in Azure Outline

  • Introduction
  • Provision an Azure Language resource
  • Detect language
  • Extract key phrases
  • Analyze sentiment
  • Extract entities
  • Extract linked entities
  • Exercise – Analyze text
  • Introduction
  • Understand question answering
  • Compare question answering to Azure 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
  • Introduction
  • Understand prebuilt capabilities of the Azure 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 a conversational language understanding model
  • Introduction
  • Understand types of classification projects
  • Understand how to build text classification projects
  • Exercise – Classify text
  • Introduction
  • Understand custom named entity recognition
  • Label your data
  • Train and evaluate your model
  • Exercise – Extract custom entities
  • Introduction
  • Provision an Azure Translator resource
  • Understand language detection, translation, and transliteration
  • Specify translation options
  • Define custom translations
  • Exercise – Translate text with the Azure Translator service
  • Introduction
  • Provision an Azure resource for speech
  • Use the Azure 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
  • Introduction
  • Provision an Azure resource for speech translation
  • Translate speech to text
  • Synthesize translations
  • Exercise – Translate speech
  • Introduction
  • Deploy a multimodal model
  • Develop an audio-based chat app
  • Exercise – Develop an audio-enabled chat app
  • Introduction
  • Explore the Azure Voice Live API
  • Explore the AI Voice Live client library for Python
  • Exercise – Develop an Azure AI Voice Live agent

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