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	GTR
Apr 17, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
May 01, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
May 15, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
May 29, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Jun 12, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Jun 26, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR

+ 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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