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

Beschikbare data

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.

Engels

Tijdzone: Midden-Europese Zomertijd (MEZT)

Online training 9:00 – 17:00 Dit is een FLEX-training. Tijdzone: Midden-Europese Zomertijd (MEZT)

1 uur tijdsverschil

Online training 9:00 – 17:00 Tijdzone: British Summer Time (BST) Taal: Engels
Online training 9:00 – 17:00 Tijdzone: Greenwich Mean Time (GMT) Taal: Engels
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Nederland

Utrecht 9:00 – 17:00