AI-3003 Build a natural language processing solution

Name: AI-3003 Build a natural language processing solution
Rating: 4.2 (4 reviews)

Build NLP solutions with Azure AI Language — sentiment analysis, translation, entity recognition, and app integration.

Created byMaruti Makwana

Last updated 9/2025

English

What you'll learn

Understand the fundamentals of Natural Language Processing (NLP) and its role in AI solutions
Use Azure AI Language services for tasks like sentiment analysis, entity recognition, key phrase extraction, and translation
Build and deploy NLP solutions using Azure resources and SDKs
Integrate NLP models into intelligent applications with responsible AI practices
Optimize NLP workflows for performance, scalability, and real-world business needs

Course content

1 section • 6 lectures • 1h 43m total length

Introduction - Analyze text12:57
In this lesson, you’ll explore how Azure AI Language services can be used to analyze text. You’ll learn how to perform tasks like sentiment analysis, key phrase extraction, and entity recognition—essential building blocks for natural language processing solutions.
Lab – Analyze Text11:26
Put your knowledge into practice by working hands-on with Azure AI Language. In this lab, you’ll analyze sample text data to extract insights, understand patterns, and see how text analytics can be applied in real-world business cases.
Conversational Understanding and Question Answering22:25
Discover how Azure enables you to build conversational AI solutions. You’ll learn the concepts behind conversational understanding, intent recognition, and question answering—key elements of modern chatbots and virtual assistants.
Lab – Create a Language Understanding Model with the Language Service29:47
In this lab, you’ll build a language understanding model that can process user input, recognize intents, and provide intelligent responses. This will give you first-hand experience in designing conversational AI solutions.
Lab – Create a Question Answering Solution22:44
Here, you’ll design and deploy a question answering system that can understand and respond to user queries using Azure’s Language service. You’ll see how to make information accessible in a conversational format.
Custom Classification and Named Entity Extraction4:29
Go beyond prebuilt features by learning how to create custom text classification models and extract domain-specific entities. This will help you design solutions tailored to your organization’s unique needs.

Requirements

Basic knowledge of Python programming
Familiarity with cloud computing concepts (preferably Azure).
Curiosity about AI and language technologies.
An Azure subscription (free tier is sufficient for hands-on practice)

Description

This course is designed to help you master the fundamentals of NLP using Azure AI services. Through step-by-step lessons and practical labs, you’ll explore how to analyze text, extract insights, and build intelligent applications that understand human language.

You’ll begin by learning the basics of text analysis with Azure AI Language services, including sentiment analysis, entity recognition, and key phrase extraction. Hands-on practice in the Lab – Analyze Text will help reinforce these concepts. Next, you’ll move into conversational AI, where you’ll explore conversational understanding and question answering. You’ll create intelligent solutions in Lab – Create a Language Understanding Model and Lab – Create a Question Answering Solution to see how real-world chatbots and virtual assistants can be built on Azure.

Beyond text and conversations, the course will guide you into custom classification and named entity extraction, giving you the skills to design tailored solutions that meet unique business needs. You’ll also learn how to integrate speech recognition and synthesis, enabling applications to transcribe and generate spoken content. The Lab – Speech Recognition and Synthesis will bring this concept to life.

Finally, you’ll explore translation services and integrate them with generative AI features in the Lab – Audio Enabled Generative AI App, where you’ll design multilingual, voice-enabled intelligent solutions.

By the end of this course, you’ll have hands-on experience across multiple Azure AI Language capabilities—from text analytics and speech services to translation and conversational AI. Whether you’re preparing for Microsoft’s AI Engineer Associate certification, working as a developer or data scientist, or simply curious about AI, this course will equip you with practical NLP skills in the Azure ecosystem that can be applied directly to real-world applications.

Who this course is for:

Data scientists and developers aiming to integrate AI-powered language solutions into their applications.
Cloud practitioners preparing for Microsoft’s AI Engineer Associate role.
Students and professionals who want to specialize in Natural Language Processing (NLP) with Azure
Anyone interested in applying Azure AI Language services to real-world projects.