Training: Build a natural language processing solution with Azure AI Service (AI-3003)

Ref. AI-3003

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Duration:

1

day

Exam:

Not certifying

Level:

Intermediate

Funding:

Eligible

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Build a natural language processing solution with Azure AI Service (AI-3003)

Why Master Natural Language Processing with Azure AI Services?

Advancements in artificial intelligence are transforming how businesses utilize textual and vocal data. The AI-3003 course provides you with valuable expertise to develop innovative natural language processing (NLP) solutions. Through this program, you’ll learn to extract key information, analyze sentiments, and even automate question-answering systems.

Designed by experts, this training offers a practical and flexible approach. You will explore tools like Azure AI Language and Speech to build custom models, enhance customer interactions, and optimize your services. Accessible and progressive, this course is perfect for developers looking to integrate NLP-based solutions into their applications.

A Practical Learning Experience with Azure AI Services

This course is tailored for those who want to excel in AI technologies. Whether you’re an experienced developer or a beginner with programming knowledge, this training will equip you with the tools to succeed. Join us to explore the fascinating world of natural language processing!

Participant Profiles

Software developers
Artificial intelligence engineers
Cloud architects
Technical leads
Data science specialists
IT consultants in AI solutions
Students in IT aiming to deepen their NLP knowledge

Objectives

Analyze texts with Azure AI Language
Create question-answering solutions
Develop models for natural language understanding
Design custom text classification projects
Implement named entity recognition solutions
Translate text using Azure AI Translator
Create applications using speech recognition
Set up voice translation solutions

Prerequisites

Understanding of Microsoft Azure and ease of use with the Azure portal.
Proficiency in the C# or Python programming language.
Knowledge of JSON and REST programming semantics.

Course Content

Module 1: Analyze Text with Azure AI Language

Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiments
Extract entities
Extract linked entities

Module 2: Create Question-Answering Solutions with Azure AI Language

Understand question-answering functionalities
Compare question-answering with Azure AI Language Understanding
Create a knowledge base
Implement multi-turn prompts
Test and publish a knowledge base
Use a knowledge base
Enhance question-answering performance

Module 3: Create a Natural Language Understanding Model

Understand predefined features of Azure AI Language
Learn about resources for creating a language understanding model
Define intents, utterances, and entities
Use models to differentiate similar utterances
Leverage predefined entity components
Train, test, publish, and validate a language understanding model

Module 4: Create a Custom Text Classification Solution

Understand types of classification projects
Learn how to create text classification projects

Module 5: Custom Named Entity Recognition

Understand custom named entity recognition
Label your data
Train and evaluate your model

Module 6: Translate Text with Azure AI Translator

Provision an Azure AI Translator resource
Understand concepts of language detection, translation, and transliteration
Specify translation options
Define custom translations

Module 7: Create Applications with Speech Recognition Using Azure AI Services

Provision a resource for speech recognition
Use the Azure AI Speech-to-Text API
Use the Text-to-Speech API
Configure audio formats and voices
Leverage speech synthesis markup language

Module 8: Voice Translation with Azure AI Speech

Provision a resource for voice translation
Translate speech recognition outputs
Synthesize translations

Documentation

Access to Microsoft Learn, Microsoft’s online learning platform, offering interactive resources and educational content to deepen your knowledge and develop your technical skills.

Lab / Exercises

This course provides you with exclusive access to the official Microsoft lab, enabling you to practice your skills in a professional environment.

Complementary Courses

Eligible Funding

ITTA is a partner of a continuing education fund dedicated to temporary workers. This fund can subsidize your training, provided that you are subject to the “Service Provision” collective labor agreement (CCT) and meet certain conditions, including having worked at least 88 hours in the past 12 months.

Additional Information

Elevate Your AI Skills with Azure

Artificial Intelligence (AI) is constantly redefining the boundaries of what’s possible, and our advanced AI-3003 course offers you a unique opportunity to deepen your understanding and skills in natural language processing and text analysis through Azure AI Language. This training is designed to equip you with the necessary tools to not only comprehend but also apply AI principles in your projects.

From Theory to Practice: Text Analysis and Language Recognition

The core of this training lies in text analysis and advanced linguistic recognition. You will learn to detect language, extract key phrases, analyze sentiment, and identify significant entities in volumes of text. These skills are crucial for developing intelligent applications capable of understanding and interacting naturally with users.

Question-Answering Solutions: Beyond Simple Interaction

Creating sophisticated question-answering solutions is another cornerstone of our program. You will be introduced to building a robust knowledge base, essential for implementing multi-turn conversations and enhancing the performance of question-answering systems. This skill is indispensable for solution architects seeking to develop conversational AI models that improve user engagement.

Modeling Conversational Language Understanding

Discover how to build conversational language understanding models by defining intents, utterances, and entities. We will teach you to use patterns to distinguish similar utterances and to leverage pre-built entity components to refine the accuracy of your model. These skills are essential for developing chatbots and virtual assistants that can interpret and respond contextually to user requests.

Customization and Translation: Pushing the Boundaries of AI

Customizing text classification solutions and personalized named entity recognition add an extra layer of sophistication to your AI development toolkit. In parallel, you will explore the power of Azure AI Translator for language detection, translation, and transliteration, thus enriching your applications with multilingual capabilities.

Speech Integration: Towards Voice-Activated Applications

Integrating speech into applications via Azure AI services opens new avenues for human-computer interaction. Learn to use the Azure AI Speech-to-Text and Text-to-Speech APIs, configure audio formats, and translate speech in real time. These skills are crucial for creating voice-activated applications that offer a seamless and intuitive user experience.