AI Applications in People Management

This course is part of AI For Business Specialization

Instructors: Prasanna Tambe

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4 modules

Gain insight into a topic and learn the fundamentals.

320 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

92%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

320 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

92%

Most learners liked this course

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

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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 videos Total 87 minutes

Course Introduction 15 minutes
Uniqueness of HR Challenges 21 minutes
HR Without AI 17 minutes
Decision Making 6 minutes
Rule-based Systems 5 minutes
How Machine Learning Works 6 minutes
The Role of Training Data in Machine Learning 6 minutes
Feature Engineering - Beyond Structured Data 5 minutes
Evaluating Machine Learning Performance 4 minutes
End to End Example 4 minutes

1 reading Total 30 minutes

Module 1 Slides 30 minutes

2 assignments Total 60 minutes

Practice Quiz #1 30 minutes
Module 1 Quiz 30 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 videos Total 55 minutes

AI Application in HR 3 minutes
AI and Engagement 9 minutes
Topic Modeling 9 minutes
AI and Attrition 3 minutes
Building ML Attrition Models 9 minutes
The Value of Attrition Models 4 minutes
AI and Careers 10 minutes
Analyzing Skills 8 minutes

1 reading Total 30 minutes

Module 2 Slides 30 minutes

2 assignments Total 60 minutes

Practice Quiz #2 30 minutes
Module 2 Quiz 30 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 videos Total 54 minutes

Hiring as an Example 22 minutes
Broader Issues of Privacy and Ethics 14 minutes
Data Limitations 5 minutes
Why Aren't Our Systems More Accurate? 5 minutes
Measurement Problems 3 minutes
So Why Use Analytics? 6 minutes

1 reading Total 30 minutes

Module 3 Slides 30 minutes

2 assignments Total 60 minutes

Practice Quiz #3 30 minutes
Module 3 Quiz 30 minutes

1 peer review Total 60 minutes

Module 3 60 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.