UiPath AI Center Overview

This overview course is meant to showcase how AI Center enables the management of Machine Learning models and their deployment in automated processes built with UiPath Studio.
  • 12327 enrolled students
  • October 25, 2021
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UiPath AI Center Overview

  • 02:30:00
  • Downloadable resources available
  • Diploma of Completion included
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Course details

Difficulty Level




Completion time


Product covered

AI Center

Product Alignment: This training is based on the UiPath AI Center 20.10 product version.
Last Update: November 2020
Audience: Data Scientists, RPA Developers, as well as anybody else interested in seeing how Machine Learning can bring value in different business areas
Learning Objectives
At the end of this course you should be able to:

  • Define the main concepts related to Artificial Intelligence;
  • Describe on a high-level how machine learning works, using its specific concepts;
  • Describe how AI Center works and the types of ML models it can manage;
  • Recognize the types of problems that can be solved by deploying Machine Learning models in automated processes;
  • Create projects and upload datasets in AI Center;
  • Train and evaluate out-of-the-box ML packages in AI Center with pipelines;
  • Deploy ML models from AI Center to UiPath Studio as ML skills and ensure that data is sent back to AI Center;
  • Use the ML logs to monitor the ML models in AI Center.
    1. Introducing AI Center:
  • Artificial Intelligence in the Context of RPA
  • A Closer Look at Machine Learning
  • What is AI Center?
  • Identifying Use Cases
  • An End-to-End Preview of AI Center

    2. AI Center Main Concepts
  • Projects
  • Datasets
  • ML Packages
  • Pipelines
  • ML Skills
  • Closing the Loop
  • ML Logs