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

Prix & Delivery methods

Formation en ligne

Durée
1 jour

Prix
  • sur demande
Formation en salle équipée

Durée
1 jour

Prix
  • sur demande

Agenda

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.

Français

European Time Zones

Anglais

European Time Zones

Formation en ligne
Option présentielle : Utrecht, Pays-Bas

6 heures de différence to Heure normale d'Europe centrale (HNEC)

Formation en ligne Fuseau horaire : Eastern Standard Time (EST)
Formation en ligne Fuseau horaire : Eastern Standard Time (EST)
Formation en ligne Fuseau horaire : Eastern Standard Time (EST)
Formation en ligne Fuseau horaire : Eastern Standard Time (EST)

7 heures de différence to Heure normale d'Europe centrale (HNEC)

Formation en ligne Fuseau horaire : Central Daylight Time (CDT)
Formation en ligne Fuseau horaire : Central Daylight Time (CDT)

9 heures de différence to Heure normale d'Europe centrale (HNEC)

Formation en ligne Fuseau horaire : Pacific Daylight Time (PDT)
Formation en ligne Fuseau horaire : 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.

Suisse

Zurich
Zurich
Zurich
Zurich
Zurich

Allemagne

Francfort
Munich
Hambourg
Berlin

Si vous ne trouvez pas de date adéquate, n'hésitez pas à vérifier l'agenda de toutes nos formations FLEX internationales