Course

AI Computer Vision with Studio

This course provides a comprehensive introduction to utilizing AI Computer Vision capabilities in a workflow to optimize automation projects.
  • 15079 enrolled students
  • October 25, 2023
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AI Computer Vision with Studio

  • 002:00:00
  • Downloadable resources available
  • Diploma of Completion included
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Course details

Difficulty Level

Advanced

Language

English

Completion time

002:00:00

Product covered

Studio

About the AI Computer Vision with Studio course

In this course, you will develop skills in automating tasks across virtual desktop interface (VDI) environments. Furthermore, the course provides an overview of how to utilize Computer Vision Recorder as a target for all subsequent Computer Vision activities. Additionally, it will provide an overview of how to extract scroll tables using Computer Vision.

Product Alignment: This course was built using the 2022.10 product version of UiPath Studio and is applicable to newer versions as well.

Prerequisites for AI Computer Vision with Studio course  

  • Automation Developer Associate Training 
  • Familiarity with virtualization concepts and remote desktop protocols (RDP). 

Course Audience

This is a two-hour course aimed primarily at Automation Developers.   

AI Computer Vision Course Agenda

  • Introduction to AI Computer Vision 
  • Computer Vision Activities 
  • Computer Vision vs. UI Automation Activities 
  • Guided Practice: Loan Application Automation 
  • Computer Vision Recorder 
  • Tabular Data Extraction 
  • Guided Practice: Tabular Data Extraction 
  • AI Computer Vision best practices 
  • Practice-Building UI Automation with the Computer Vision 

AI Computer Vision Course Objectives

At the end of this course, you should be able to: 

  • Explain what Computer Vision is and how it works.  
  • Explain the benefits of Computer Vision.  
  • Differentiate between Computer vision and UI Automation activities. 
  • Use Computer Vision activities in your workflows. 
  • Record the workflow using Computer Vision Recorder. 
  • Extract tabular data using Computer Vision. 
  • Understand the best practices of Computer Vision.