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AI-3003: Build a Natural Language Processing Solution with Azure AI Services

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Course Overview

The AI-3003: Build a Natural Language Processing (NLP) Solution with Azure AI Services course is designed for professionals seeking to design, develop, and deploy NLP-powered applications using Microsoft Azure AI. This training provides hands-on experience in implementing language understanding, text analytics, conversational AI, and knowledge extraction solutions that enable organisations to make data-driven decisions and enhance user experiences.

Participants will explore Azure Cognitive Services, Language Service, Text Analytics, Translator, and QnA Maker to build real-world NLP solutions. The course emphasises solution architecture, data preprocessing, model evaluation, integration, and deployment, ensuring learners can create scalable, secure, and production-ready NLP applications.

By completing this course, participants will gain the expertise to implement NLP solutions in enterprise environments, leveraging Azure AI services for intelligent automation, sentiment analysis, content moderation, chatbot development, and advanced text analytics. The course also aligns with Microsoft’s AI engineering certification pathways, supporting career growth in AI and data-driven roles.

In this course, you will learn how to:

  • Designing solutions for processing natural language with Azure AI Language.
  • Creating solutions for analyzing text using preconfigured features.
  • Training models for custom language solutions, specifically for question answering and conversational language understanding.
  • Understanding, synthesizing, and translating speech.

Training Prerequisites:

Before enrolling in this course, students are expected to have:

  • Knowledge of Microsoft Azure and the ability to navigate the Azure portal effectively.
  • Proficiency in either C# or Python programming languages.
  • Familiarity with JSON and REST programming semantics.

Schedule Dates

02 March 2026
AI-3003: Build a Natural Language Processing Solution with Azure AI Services
08 June 2026
AI-3003: Build a Natural Language Processing Solution with Azure AI Services
14 September 2026
AI-3003: Build a Natural Language Processing Solution with Azure AI Services
14 December 2026
AI-3003: Build a Natural Language Processing Solution with Azure AI Services

Course Content

  • Introduction
  • Provision an Azure AI 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 AI 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 Azure AI 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 AI Translator resource
  • Understand language detection, translation, and transliteration
  • Specify translation options
  • Define custom translations
  • Exercise: Translate text with Azure AI Translator service

  • Introduction
  • Provision an Azure resource for speech
  • Use Azure AI 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

FAQs

This course is ideal for AI engineers, software developers, data scientists, cloud architects, and technical professionals responsible for implementing natural language processing solutions in enterprise environments.

Participants will work with Azure Cognitive Services, Language Service, Text Analytics, Translator, QnA Maker, and LUIS (Language Understanding) for developing NLP solutions.

Absolutely. The course teaches API-based integration, Azure Functions, and deployment strategies to embed NLP capabilities into web, mobile, and enterprise applications.

Basic understanding of AI or programming concepts is recommended, but the course is structured to provide practical guidance for both technical and semi-technical learners.

This course equips learners with skills in AI engineering, NLP development, chatbot design, and data-driven decision-making, enhancing career prospects in cloud AI, data analytics, and software development.

Yes. The AI-3003 course aligns with Microsoft Azure AI Engineer Associate certification and provides a strong foundation for advanced AI and NLP certification pathways.