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
Classroom Training

Duration
1 day

Price
  • on request

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Online Training Time zone: British Summer Time (BST) Course language: English
Online Training Time zone: British Summer Time (BST) Course language: English
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Online Training Time zone: Greenwich Mean Time (GMT) Course language: English
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.