AI-3003: Develop natural language solutions in Azure

Course code: NP1326

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.

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

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.

Course structure

Lesson 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

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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