About the [On-Demand] UiPath Process Mining 2025.4 Technical Updates training

This on-demand training is designed for technical audiences—including solution engineers, developers, and automation architects—who want a focused walkthrough of the latest Process Mining capabilities introduced in the 2025.4 release. Through demos, scenarios, and applied use cases, the course explores features that drive greater visibility, data granularity, and cross-system insights, enabling smarter decisions and deeper automation analysis. These include: 

• Multi-Process: Analyze multiple interconnected business processes in a single Process Mining app. 

• Integrated Automation Data: Combine automation and process data for a unified view of human and robot interactions. 

• Process Optimization App Template: Visualize and act on end-to-end execution data across systems. 

• Task Insights in Process Mining: Zoom into user-level desktop activity to identify inefficiencies and automation opportunities. 

• Business Logic Editor: Customize KPIs and dashboards with row-level expressions and dynamic metrics. 

This course gives you a practical, release-focused overview of how to apply these innovations to real-world automation and process improvement initiatives.

Product alignment

This training covers the UiPath Process Mining 2025.4 release. Features like Task Insights and Multi-Process are available in private preview and may evolve in future releases.

Learning prerequisites

To get the most out of this course, learners should: 

• Be familiar with Process Mining concepts and dashboards 

• Understand data models and business process logic 

• Have experience working with UiPath Cloud and connected systems 

Audience 

This training is intended for: 

• Solution Engineers and Pre-sales professionals 

• Automation Developers and Technical Consultants 

• Process Mining Analysts and CoE Leads working with data-driven automation 

Agenda

This course covers key updates from the 2025.4 release: 

• Multi-Process analysis for cross-functional visibility 

• Connecting automation and process data 

• Using the Process Optimization app to track human, robot, and system interactions 

• Integrating task-level activity via Task Insights 

• Defining metrics with the Business Logic Editor 

Learning objectives

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

• Analyze multiple processes in a single Process Mining application 

• Integrate automation execution data into your process dashboards 

• Use task-level insights to identify user behavior patterns and inefficiencies 

• Build and customize KPIs using the Business Logic Editor 

• Leverage the Process Optimization App to uncover delays, bottlenecks, and improvement areas