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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.

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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 schedule: Maximum wait of 4 to 6 weeks after participant registrations, 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.

Develop Natural Language Solutions in Azure AI-3003 Training Plan: Detailed Modules

Module 1: Analyze text with Azure Language in Foundry Tools

Azure Language in Microsoft Foundry Tools
Detect language
Extract entities
Extract personally identifiable information (PII)
Exercise – Analyze text

Module 2: Develop a text analysis agent with the Azure Language MCP server

Understand the Azure Language MCP server
Connect and use the Language MCP server with an agent
Exercise – Develop a text analysis agent

Module 3: Develop a speech-capable generative AI application

Choose a speech-capable model
Transcribe speech
Synthesize speech
Exercise – Use speech-capable generative AI models

Module 4: Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools

Azure Speech in Foundry Tools
Use the 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

Module 5: Develop a speech agent with the Azure Speech MCP server

Understand the Azure Speech MCP server
Connect and use the Speech MCP server with an agent
Exercise – Use Azure Speech in an agent

Module 6: Develop an Azure Speech Voice Live Agent in Microsoft Foundry

Explore the Azure Voice Live API
Explore the AI Voice Live client library for Python
Create a Voice Live agent
Exercise – Develop a Voice Live agent

Module 7: Translate text and speech with Microsoft Foundry Tools

Translation in Microsoft Foundry
Translate text
Translate speech
Exercise – Translate text and speech

AI-3003 course preview

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 >>

Access the Microsoft Applied Skills Poster >>

Eccentrix Corner Articles: Develop Natural Language Solutions in Azure AI-3003 Resources

Explore our technical articles on Develop Natural Language Solutions in Azure AI-3003 published on Eccentrix Corner. These resources dive deeper into key concepts, share best practices, and provide practical guides to maximize your learning and success. Our experts share real-world insights to help you master developing natural language processing solutions on Azure.

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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.

Frequently Asked Questions - Azure AI Language Development Training (FAQ)

What topics are covered in this training?

Azure AI Language configuration, linguistic application development, custom language models, solution deployment, and responsible AI implementation.

Do I need prior Azure AI knowledge?

Basic understanding of Azure services and linguistic processing concepts is recommended but not mandatory.

Does the training include hands-on exercises?

Yes, the course features practical labs and real-world scenarios for applying linguistic solution development skills.

Which Azure AI tools will be covered?

Azure AI Language, Azure AI Foundry, Azure AI Content Safety, and associated linguistic development tools.

Does this training help reduce AI implementation risks?

Yes, the course emphasizes responsible AI practices, content safety, and governance frameworks.

Is this suitable for enterprise linguistic deployments?

Absolutely, the training covers enterprise-scale deployment, monitoring, and management of natural language solutions.

Ready to develop your skills or train your team?