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Develop natural language solutions in Azure (AI-3003)

Natural language processing solutions leverage advanced linguistic models to analyze and interpret the semantic meaning of written and spoken language, enabling the generation of contextually appropriate responses. Through the Azure AI Language service, you can develop custom models for your applications, while Azure AI Foundry provides access to powerful generative models for speech recognition and intelligent language processing.

Related trainings

Exclusives

Technical lab: Available for 180 days of online access
Class material: Complete and up to date with Microsoft Learn
Proof of attendance: Digital badge for completing the official Microsoft course
Fast and guaranteed private class delivery: Maximum wait of 4 to 6 weeks after registration, guaranteed date

Private class

Reserve this training exclusively for your organization with pricing adapted to the number of participants. Our pricing for private classes varies according to the size of your group, with a guaranteed minimum threshold to maintain pedagogical quality.

Volume-based pricing discount according to the number of participants
Training delivered in an environment dedicated to your team
Scheduling flexibility according to your availability
Enhanced interaction among colleagues from the same organization
Same exclusive benefits as our public training sessions

How to get a proposal?

Use the request form by specifying the number of participants. We will quickly send you a complete proposal with the exact pricing, available dates, and details of all the benefits included in your private training.

Training plan

Module 1: Analyze text with Azure AI Language

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

Module 2: Create question answering solutions with Azure AI Language

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

Module 3: Gérer et contrôler le flux de trafic dans votre déploiement Azure à l’aide de routes

Understand prebuilt capabilities of the 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

Module 4: Create a custom text classification solution

Understand types of classification projects
Understand how to build 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 service

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

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

Provision an Azure resource for speech
Use the Azure AI Speech to Text API
Use the text to speech API
Configure audio format and voices
Use Speech Synthesis Markup Language

Module 8: Translate speech with the Azure AI Speech service

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

Module 9: Develop an audio-enabled generative AI application

Deploy a multimodal model
Develop an audio-based chat app

Recommended prerequisite knowledge

Familiarity with Azure and the Azure portal.
Experience programming with C# or Python.

Credentials and certification

Features

Preparatory training for obtaining a Microsoft Applied Skills credential.
Performance is assessed through an interactive remote lab.
Duration: 120 minutes
Cost: $0

Assessment’s technical tasks

Deploy a language resource, and use prebuilt models
Create a custom text classification solution
Create a custom named entity recognition (NER) solution

View all assessment details on Microsoft Learn >>

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Azure Natural Language Solutions Training

The Azure Natural Language Solutions training is designed for AI developers and professionals seeking to master the development of natural language processing solutions using Azure AI. This hands-on course covers essential concepts such as creating AI-powered applications, configuring language models, and integrating advanced natural language processing capabilities into enterprise solutions.

By participating in this training, professionals will acquire the skills necessary to optimize linguistic solution implementations while ensuring responsible AI practices and robust solution architecture.

Why Take This Training?

In a world where artificial intelligence is transforming business operations, developing natural language solutions has become essential for innovation and competitive advantage. Azure AI offers a comprehensive suite of tools to meet modern enterprise linguistic processing needs. This course enables you to understand how to configure, develop, and deploy natural language solutions using Azure AI to ensure reliable and scalable implementations.

This training will allow you to integrate advanced natural language processing practices while maximizing the performance and efficiency of your linguistic applications.

Skills Developed During Training

Creating and Configuring Azure AI Language
Learn to design and configure Azure AI Language services tailored to your organization’s needs.
Developing Linguistic Processing Applications
Discover how to create, configure, and integrate natural language processing capabilities into enterprise applications.
Implementing Custom Language Models
Learn to define and apply effective linguistic models to optimize semantic interpretation.
Managing Solution Deployment and Scaling
Explore solutions for deploying and scaling linguistic models in production environments.
Monitoring and Optimizing Linguistic Performance
Use Azure native tools to monitor language model performance and diagnose implementation issues.
Ensuring Responsible AI Practices
Integrate Azure AI Content Safety, responsible AI frameworks, and governance for ethical linguistic deployment.

Practical, Results-Oriented Training

Led by certified Azure AI experts, this course provides a balance between theory and practice. Through real-world case studies and interactive exercises, you’ll learn to apply your knowledge to solve complex linguistic solution development challenges in Azure.

Who Is This Training For?

AI developers seeking to enhance their Azure AI Language skills
IT professionals responsible for linguistic solution architecture and implementation
Cloud specialists managing Azure AI infrastructures
Anyone interested in natural language solution development and responsible AI practices

Optimize Your Natural Language Solutions

The Develop Natural Language Solutions in Azure (AI-3003) training is ideal for developing your skills in linguistic solution development and cloud-based natural language processing. Join us today to learn how to create powerful linguistic applications and ensure reliable and scalable implementations.