University of Pennsylvania
AI Applications in People Management
University of Pennsylvania

AI Applications in People Management

This course is part of AI For Business Specialization

Matthew Bidwell
Peter Cappelli
Prasanna Tambe

Instructors: Matthew Bidwell

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Gain insight into a topic and learn the fundamentals.
4.7

(190 reviews)

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

(190 reviews)

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

4 quizzes

Taught in English

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This course is part of the AI For Business Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

In this module, you will learn about the challenges that the HR field has faced prior to the implementation of artificial intelligence as well as the role data and machine learning play in optimizing decision making. You will also learn about the role that training data plays in machine learning, how rule-based systems are used to mimic human intelligence and how they manipulate that data based on those rules. By the end of this module, you will be able to understand the concepts behind artificial intelligence, rule-based systems, and how data science has changed HR Management.

What's included

10 videos1 reading1 quiz

In this module, you will learn how AI is applied in HR, and how machine learning can change how people are managed within all HR functions. You will learn how artificial intelligence algorithms can be used in various scenarios and how data can be used to make predictions. By the end of this module, you will be able to distinguish how best to use AI algorithms to manage engagement, attrition, and internal career paths.

What's included

8 videos1 reading1 quiz

In this module, you will examine the challenges that you may face when implementing AI as a tool. You will identify the changing trends in hiring and how that factors into finding the right applicants and how to best apply AI in hiring decisions. By the end of this module, you will be able to determine how to balance machine-driven decisions and input from supervisors to select the best candidates.

What's included

6 videos1 reading1 quiz1 peer review

In this module, you will learn about biases that exist within algorithms and how to manage and avoid data adequacy bias. You will also learn how to understand and interpret results, use blockchain to keep data private and secure and understand the transformative nature of blockchain technology. By the end of this module, you will be able to explain how data science and AI have markedly changed the way we approach HR and incorporate emerging technological solutions to structure people management.

What's included

14 videos1 reading1 quiz

Instructors

Instructor ratings
4.9 (59 ratings)
Prasanna Tambe
University of Pennsylvania
3 Courses42,624 learners

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