AI Applications in People Management

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AI Applications in People Management

This course is part of AI For Business Specialization

Instructors: Prasanna Tambe

24,381 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments¹

AI Graded see disclaimer

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 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.

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 reading2 assignments

10 videosTotal 87 minutes

Course Introduction15 minutes
Uniqueness of HR Challenges21 minutes
HR Without AI17 minutes
Decision Making6 minutes
Rule-based Systems5 minutes
How Machine Learning Works6 minutes
The Role of Training Data in Machine Learning6 minutes
Feature Engineering - Beyond Structured Data5 minutes
Evaluating Machine Learning Performance4 minutes
End to End Example4 minutes

1 readingTotal 30 minutes

Module 1 Slides30 minutes

2 assignmentsTotal 60 minutes

Module 1 Quiz30 minutes
Practice Quiz #130 minutes

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 reading2 assignments

8 videosTotal 55 minutes

AI Application in HR3 minutes
AI and Engagement9 minutes
Topic Modeling9 minutes
AI and Attrition 3 minutes
Building ML Attrition Models9 minutes
The Value of Attrition Models4 minutes
AI and Careers10 minutes
Analyzing Skills8 minutes

1 readingTotal 30 minutes

Module 2 Slides30 minutes

2 assignmentsTotal 60 minutes

Module 2 Quiz30 minutes
Practice Quiz #230 minutes

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 reading2 assignments1 peer review

6 videosTotal 54 minutes

Hiring as an Example22 minutes
Broader Issues of Privacy and Ethics14 minutes
Data Limitations 5 minutes
Why Aren't Our Systems More Accurate?5 minutes
Measurement Problems3 minutes
So Why Use Analytics?6 minutes

1 readingTotal 30 minutes

Module 3 Slides30 minutes

2 assignmentsTotal 60 minutes

Module 3 Quiz30 minutes
Practice Quiz #330 minutes

1 peer reviewTotal 60 minutes

Module 360 minutes

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 reading2 assignments

14 videosTotal 69 minutes

Where Does Bias Come From?5 minutes
Bias is Difficult to Manage3 minutes
Bias is Complicated to Fix 3 minutes
Some Approaches to Fixing Bias4 minutes
What is Explainable AI?2 minutes
Examples of When Interpretability is Important4 minutes
Tradeoffs Between Interpretability and Performance3 minutes
Some Approaches to XAI3 minutes
Blockchain in HR 5 minutes
Why is the Blockchain so Transformative6 minutes
How Does the Blockchain Work5 minutes
What Are Some Emerging HR Applications4 minutes
Effects of AI18 minutes
Course Conclusion5 minutes

1 readingTotal 30 minutes

Module 4 Slides30 minutes

2 assignmentsTotal 60 minutes

Module 4 Quiz30 minutes
Practice Quiz #430 minutes

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Instructors

Prasanna Tambe

University of Pennsylvania

3 Courses99,237 learners

Offered by

University of Pennsylvania

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