Course prerequisites: 

To make the most of this course, we recommend you have the foundational knowledge of UiPath Task Mining and UiPath Task Capture. If that is not the case, please go through the UiPath Task Mining and UiPath Task Capture courses on Academy. 

In order to test the Task Mining 2022.10 features, you need access to a Task Mining environment of your own, or a demo environment provided by your organization.  

Product alignment: This course was built using the 2022.10 product version of Task Mining and is applicable to newer versions as well. 

Audience: Any technical audience interested in knowing about the latest UiPath Task Mining updates released in the 2022.10 version. 

Learning objectives:  

At the end of this course learners should be able to: 

• Describe and distinguish between the two(2) approaches for Task Mining: Assisted Task Mining(ATM) and Unassisted Task Mining(UTM). 

• Understand Unified Task Mining portal, which is the new shared space to start, manage and store all Task Mining projects. 

• Explain Assisted Task Mining(ATM) and its benefits. 

• Explain the elements of the Assisted Task Mining(ATM) interface. 

• Demonstrate how to document a known automation candidate by using the Capture Known Task feature in Assisted Task Mining(ATM). 

• Demonstrate how to model business processes, how to capture the process without modelling it beforehand, how to upload the captured data to the Cloud and export it in various file formats in Assisted Task Mining(ATM). 

• Demonstrate how to merge the collected data and conduct variation analysis in Assisted Task Mining(ATM). 

• Understand  the improved Task Mining User Management experience in Unassisted Task Mining. 

• Explain the benefits of the updated Machine Learning Model in Unassisted Task Mining. 

Agenda: 

• Two approaches for Task Mining: Assisted Task Mining(ATM) to capture variations of a known task, and Unassisted Task Mining(UTM) to mine the unknown tasks. 

• Unified Task Mining portal. 

• New Desktop Recorder Client(in ATM), to capture the tasks for Assisted Task Mining(ATM) projects. 

• Document a known automation candidate using Capture Known Task(in ATM). 

• Model the business process and capture actions afterwards(in ATM). 

• Capture the process without modelling it beforehand(in ATM). 

• Upload the captured data to the Cloud and export it in different file formats(in ATM). 

• Capture different variations of the process under a single project(in ATM). 

• Merge the captured process variations automatically or under guidance(in ATM). 

• Improved Task Mining User Management(in UTM) experience with Manage Access. 

• Enhanced Machine Learning(ML) package(in UTM) for faster data processing and filtering out results that do not provide clear values.