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

4.9(31,452 Ratings)

Duration

1 Day

Upcoming Batch

02 December 2026

Batch Options

4 hours & 8 hours

Language

English / Arabic

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.

Course Content

8 modules · 52 topics

01Module 1: Analyze text with Azure AI Language 8 topics

Introduction
Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiment
Extract entities
Extract linked entities
Exercise: Analyze text

02Module 2: Build a question answering solution 9 topics

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

03Module 3: Build a conversational language understanding model 8 topics

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

04Module 4: Create a custom text classification solution 4 topics

Introduction
Understand types of classification projects
Understand how to build text classification projects
Exercise: Classify text

05Module 5: Create a custom named entity extraction solution 5 topics

Introduction
Understand custom named entity recognition
Label your data
Train and evaluate your model
Exercise: Extract custom entities

06Module 6: Translate text with Azure AI Translator service6 topics

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

07Module 7: Create speech-enabled apps with Azure AI services 7 topics

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

08Module 8: Translate speech with Azure AI Speech service 5 topics

Introduction
Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations
Exercise: Translate speech

Schedule Dates

4 upcoming batches

Session Type

Physical sessions run at our training facility.

AI-3003: Build a Natural Language Processing Solution with Azure AI Services
Batch Dates	Duration	Batch Options	Language
02 December 2026Next	1 Day	4 hours & 8 hours	English / Arabic
02 March 2027	1 Day	4 hours & 8 hours	English / Arabic
02 June 2027	1 Day	4 hours & 8 hours	English / Arabic
02 September 2027	1 Day	4 hours & 8 hours	English / Arabic

Can’t find a suitable date? Request a schedule that fits your team.

Request More Information

FAQs

Who should enrol in the AI-3003 NLP course?

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.

What Azure AI services are covered in this course?

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

Can I integrate these NLP solutions into existing applications?

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

Is prior experience in AI or NLP required?

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.

What career benefits does this course offer?

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.

Does this course support Microsoft AI certification paths?

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.

This course includes:

Soft copy of Courseware
Certificate of Course Completion
Experienced and Professional Trainer
Lab and Exercises During Training
Sample Questions for Exam Preparation
Mock Test on the Last Day of Training
Exam Registration Guidance
5-Star Training Environment

Upcoming Batch

02 December 2026

View all batch dates

How We Deliver

Select the method that best suits your needs.

Online Instructor-Led Training Classroom Training Onsite Training Overseas Training

Request More Information

First Name *Please enter your first name.

Last Name

Email Address *Please enter a valid email address.

Phone Number *Please enter your phone number.

Country

Message

Your information is secure and never shared.

How We Deliver

Flexible Training Options to Meet Your Needs

Choose how you learn — live online, in-classroom, at your workplace, or internationally. CounselTrain delivers certified IT training across the UAE in the format that fits your team.

Select the method that best suits your needs.