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Learner Reviews & Feedback for AI Applications in People Management by University of Pennsylvania

4.8
stars
28 ratings

About the Course

In this course, you will learn about Artificial Intelligence and Machine Learning as it applies to HR Management. You will explore concepts related to the role of data in machine learning, AI application, limitations of using data in HR decisions, and how bias can be mitigated using blockchain technology. Machine learning powers are becoming faster and more streamlined, and you will gain firsthand knowledge of how to use current and emerging technology to manage the entire employee lifecycle. Through study and analysis, you will learn how to sift through tremendous volumes of data to identify patterns and make predictions that will be in the best interest of your business. By the end of this course, you'll be able to identify how you can incorporate AI to streamline all HR functions and how to work with data to take advantage of the power of machine learning....

Top reviews

BF

Nov 14, 2021

Excellent module. Very interesting ideas and complete explanations on the intricacies of developing AI and ML initiatives for your HR needs.

RA

Feb 7, 2023

Very useful course! Tutors were engaging and the course content challenging. Very pleased to have studied and passed it.

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1 - 5 of 5 Reviews for AI Applications in People Management

By Bert F

Nov 15, 2021

Excellent module. Very interesting ideas and complete explanations on the intricacies of developing AI and ML initiatives for your HR needs.

By JIDE M

Oct 29, 2021

The peer review process took over three weeks to complete despite several appeals and discussion posts. It was a dampening experience.

By Ruth I V A

Feb 8, 2023

Very useful course! Tutors were engaging and the course content challenging. Very pleased to have studied and passed it.

By Chee Y L

Oct 3, 2022

This course is excellent in content and very well taught !

By William S

Aug 23, 2022

it is a mixed review at best. some topics were really enlightening and informative. some items are not that relevant and i felt subject matter was stretched to cover more course hours but not so useful - particularly bias, explainability. Prof Cappelli provided a lot of insights.