AI-3004 : Applied Skill : Create computer vision solutions with Azure AI Vision

AI-3004 : Applied Skill : Create computer vision solutions with Azure AI Vision


  Intermediate

Regular Price : $600.00
Offer Price :$300.00

Course Overview

Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.

What is Microsoft Applied Skills?
Microsoft Applied Skills for instructor-led training is a 1-day credential designed to support learners who wish to gain one skill, aligned to scenarios or projects. 

Course Outline

Analyze and manipulate images.
Create a custom vision model.
Detect and recognize faces.
Analyze video.

Course Objectives

  • Understand features and functionality of Image Analysis
  • Perform Optical Character Recognition (OCR)
  • Connect an app to Image Analysis APIs
  • Understand features, use cases, and responsibility of the Azure AI Vision Face API
  • Use the Face API in an app
  • Understand use cases of custom Vision models
  • Label data in Azure ML for both image classification and object detection
  • Use a custom vision model in an app

Pre-requisites

Before starting this applied skill, 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.

For any custom schedule, please email us at info@gtechlearn.com or Call us at 1-844-355-9898(Toll Free - North America) or 1800 309 9898 (Toll Free - India)


This course includes:

  • Official MS Learn Courseware
  • Exam Preps
  • Achievement Badge from Microsoft
  • Course Completion Certificate
  • Post Training Support
  • Experienced & Certified Instructors
  • Train from AnyWhere
  • Interactive Hands-On Labs
  • Personalized Learning Plans
  • Flexible Scheduling
  • Accredited Training
  • Cost-Effective Pricing

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