Course

Enrich your app with UiPath Process Mining

Enhance your UiPath apps with advanced Process Mining techniques. Learn to add tables, fields, and custom metrics for deeper insights. Ideal for developers aiming to maximize automation potential.
  • 928 enrolled students
  • August 13, 2024
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Enrich your app with UiPath Process Mining

  • 003:00:00
  • Downloadable resources available
  • Diploma of Completion included
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Course details

Difficulty Level

Intermediate

Language

English

Completion time

003:00:00

Product covered

Process Mining

About the Enrich your app with UiPath Process Mining course

Designed for Process Mining Developers, this course teaches you how to enhance your apps by integrating additional tables, fields, and custom metrics. Learn to implement tags, due dates, and seeds to provide deeper insights and improve process visibility. You’ll gain hands-on experience in customizing data transformations, creating complex metrics, and configuring dashboards to meet specific business needs. 

It takes around 3 hours to complete this course. At the end of it, you will receive a diploma of completion. 

Product alignment: This course is built based on the 2024.7 release of UiPath Process Mining in the Automation Cloud. If you are using UiPath Process Mining in the Automation Suite or a different version of the Automation Cloud, you might notice differences from what's shown in this course. 

Prerequisites   

To make the most of this learning experience, we recommend going through the following courses in advance:  

  • Get Started with UiPath Process Mining   
  • Load data with UiPath Process Mining  
  • Transform data with UiPath Process Mining 

Course audience 

This course is dedicated to both the business and technical audiences who want to learn how to enrich a UiPath Process Mining application. 

Learning objectives 

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

  • Add additional tables and fields to the data and in the app. 
  • Describe what tags are and implement them in the data and in the app. 
  • Describe what seeds are and how to use them in the data transformations. 
  • Implement custom metrics in the app. 

Course agenda  

  • Additional fields 
  • Practice exercises: Add fields from another table 
  • Additional tables 
  • Practice exercises: Add additional tables 
  • Tags 
  • Practice exercises: Create tags 
  • Due dates 
  • Practice exercises: Create due dates 
  • Seeds 
  • Business value