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AI-3003: Develop natural language solutions in Azure
Build applications that understand, translate and respond to human language. This practical, self-paced course shows developers how to use Azure AI services to analyse text, extract key information, translate text and speech, and create speech-enabled and voice-driven AI apps. It’s ideal if you have basic programming experience in Python or C# and are familiar with Azure.
Duration
8 Hours (1 Day)
Modules
1 Modules
Course type
Microsoft
Course Overview
This intermediate-level learning path teaches AI engineers and developers how to build natural language solutions using Azure AI services and Azure AI Foundry. You’ll learn to analyze text, build conversational models, create custom classifiers and entity recognizers, and develop speech-enabled and generative AI applications. The course emphasizes semantic understanding and multilingual capabilities.
Before You Begin
- Familiarity with Azure and the Azure portal
- Programming experience (e.g., Python, C#)
- Basic understanding of natural language processing (NLP)
- Experience with AI model deployment is helpful
Key outcomes
- Extract Text Meaning Use AI Language to understand semantic text content.
- Build Conversational Models Create Q&A and dialogue understanding applications.
- Translate and Synthesize Speech Convert speech using Azure AI’s voice tools.
- Create Custom NLP Apps Train models for classification and recognition tasks.
Tools you’ll use
Azure Portal
Azure AI Language Service
Azure AI Translator
Skills you’ll gain
- Text Meaning Extraction
- Conversational AI Models
- Q&A Model Building
- Multilingual Translation Tools
- Speech-Enabled Applications
- Audio Input Integration
- Generative AI Development
- Language AI Workflows
What You’ll Learn
1 module
1Lesson 1: Develop natural language solutions in Azure
Module 1: Analyze text with Azure AI Language Module 2: Create question answering solutions with Azure AI Language Module 3: Build a conversational language understanding model Module 4: Create a custom text classification solution Module 5: Custom named entity recognition Module 6: Translate text with Azure AI Translator service Module 7: Create speech-enabled apps with Azure AI services Module 8: Translate speech with the Azure AI Speech service Module 9: Develop an audio-enabled generative AI application
Certification & Credentials
Certificate track
8 Hours (1 Day)
Target Audience
Intended roles
- Generative AI Engineer
Frequently asked questions
What is Azure AI Language used for?
It enables apps to understand and process natural language through sentiment analysis, entity recognition, and more.
Do I need prior NLP experience?
Basic understanding helps, but the course guides you through key concepts and implementations.
Can I build multilingual apps?
Yes, using Azure AI Translator and Speech services, you can support multiple languages.
Is this course hands-on?
Yes, it includes labs and exercises for building and deploying NLP and speech solutions.
Who should take this course?
AI engineers and developers building intelligent applications with natural language capabilities.
| Duration | 8 Hours (1 Day) |
|---|---|
| Modules | 1 Modules |
| Course type | Microsoft |
| Category | Microsoft |
| Intended roles | Generative AI Engineer |
| Prerequisites | Familiarity with Azure and the Azure portal, Programming experience (e.g., Python, C#), Basic understanding of natural language processing (NLP), Experience with AI model deployment is helpful |
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