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

 

Course Overview

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.

This learning path helps prepare you for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.

Prerequisites

Before starting this learning path, you should already have:

  • Familiarity with Azure and the Azure portal.
  • Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.

Course Content

  • Analyze text with Azure AI Language
  • Build a question answering solution
  • Build a conversational language understanding model
  • Create a custom text classification solution
  • Create a custom named entity extraction solution
  • Translate text with Azure AI Translator service
  • Create speech-enabled apps with Azure AI services
  • Translate speech with the Azure AI Speech service

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • on request
Book now
Enquire a date
Classroom Training

Duration
1 day

Price
  • on request
incl. catering
Book now
Enquire a date

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

English

European Time Zones

Online Training
Online Training
Classroom option: Utrecht, Netherlands
Online Training
Online Training

6 hours difference to Central European Time (CET)

Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)

7 hours difference to Central European Time (CET)

Online Training Time zone: Central Daylight Time (CDT)
Online Training Time zone: Central Daylight Time (CDT)

9 hours difference to Central European Time (CET)

Online Training Time zone: Pacific Daylight Time (PDT)
Online Training Time zone: Pacific Daylight Time (PDT)
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Switzerland

Zurich
Zurich
Zurich
Zurich
Zurich

Germany

Berlin
Frankfurt
Munich
Hamburg
Berlin

If you can't find a suitable date, don't forget to check our world-wide FLEX training schedule.