Applied AI for Human Resources

What will i learn?

HR challenges and AI solutions
Acquiring data
Classification with deep learning
Building and testing models
Processing and preparing data
Predicting outcomes
Conducting sentiment analysis

Curriculum for this course

34 Lessons 01:00:29 Hours

Introduction

2 Lessons 00:02:22 Hours

Artificial intelligence and human resources 00:01:22
Course prerequisites 00:01:00

Human Resources and AI

5 Lessons 00:10:43 Hours

Introduction to HR 00:02:02
HR challenges 00:01:09
AI and HR 00:03:08
HR use cases overview 00:02:17
Setting up the exercise files 00:02:07

Use Case 1: Predicting Employee Attrition

6 Lessons 00:09:23 Hours

Employee attrition 00:01:37
Classification with deep learning 00:01:15
Data for employee attrition 00:01:41
Preprocessing attrition data 00:02:17
Building an attrition model with Keras 00:01:32
Predicting attrition with Keras 00:01:01

Use Case2: Discovering Collaboration

6 Lessons 00:12:10 Hours

Organization design 00:02:18
Network analysis with networks 00:02:24
Data for network analysis 00:00:59
Preparing network data 00:01:59
Creating and visualizing networks 00:02:06
Analyzing networks 00:02:24

Use Case3: Recommending Training Courses

5 Lessons 00:09:31 Hours

User item recommendations 00:01:34
Ratings data for recommendations 00:00:51
Prepare for embedding 00:02:10
Building a Keras rating model 00:02:22
Recommending courses with Keras 00:02:34

Other HR Use Cases

5 Lessons 00:09:59 Hours

Predict future employee performance 00:02:42
Candidate outreach 00:02:31
Automated candidate screening 00:02:29
Employee virtual assistant 00:02:15
Sentiment analysis 00:00:02

IT Ops Best Practices

4 Lessons 00:05:42 Hours

Model development best practices 00:01:27
Using machine learning platforms 00:01:18
Model serving best practices 00:01:31
Security and privacy best practices 00:01:26

Conclusion

1 Lessons 00:00:39 Hours

Next Steps 00:00:39

Requirements

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Description

This course explores the ways AI and big data can help HR. Examine three key use cases in the human resources world: predicting employee attrition, mapping collaboration, and creating training recommendations. For each of these use cases, instructor Kumaran Ponnambalam collects and processes data, builds machine learning models, and predicts key outcomes using tools like Python, Jupyter Notebooks, TensorFlow, and Keras. He also briefly explains how to design models to perform other common HR tasks, such as predicting future performance, screening candidates, and even tracking morale. The course concludes with some best practices, including addressing security and privacy concerns particular to HR.