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AI-3003 Build a natural language processing solution with Azure AI Services

On‑Demand: $295 | Instructor‑Led: $695 | Duration: 1 Day

Upgrade your tech skills with this , training course from TechSherpas 365!

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Start Date End Date CLASS TIMES (EST) DELIVERY/LOCATION Status Price Enroll Now
3/31/2026 3/31/2026
9:00AM - 5:00PM
star GTR

Guaranteed-to-Run
$695
7/20/2026 7/20/2026
9:00AM - 5:00PM
star GTR

Guaranteed-to-Run
$695
START DATE : 3/31/2026
END DATE : 3/31/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
star GTR

Guaranteed-to-Run
PRICE : $695
START DATE : 7/20/2026
END DATE : 7/20/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
star GTR

Guaranteed-to-Run
PRICE : $695

Course Highlights

LEVEL: 
  • Intermediate
TOPICS & JOB ROLES: 
BRANDS/TECHNOLOGIES: 

AI-3003 Build a natural language processing solution with Azure AI Services Course Outline

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

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

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

2 – Build a question answering solution

  • 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

3 – Build a conversational language understanding model

  • 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

4 – Create a custom text classification solution

  • Understand types of classification projects
  • Understand how to build text classification projects

5 – Create a custom named entity extraction solution

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

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

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

8 – Translate speech with the Azure AI Speech service

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

Related Job Roles

This course builds skills and demonstrates qualifications for the job roles and average base salaries below. 

Web Administrators

Geographic Information Systems Technologists and Technicians

Information Security Engineers

Network and Computer Systems Administrators

Computer and Information Systems Managers

Computer Network Architects

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