Applied AI for Human Resources

Introduction

• Artificial intelligence and human resources

• Course prerequisites

1. Human Resources and AI

• Introduction to HR

• HR challenges

• AI and HR

• HR use cases overview

• Setting up the exercise files

2. Use Case 1: Predicting Employee Attrition

• Employee attrition

• Classification with deep learning

• Data for employee attrition

• Preprocessing attrition data

• Building an attrition model with Keras

• Predicting attrition with Keras

3. Use Case 2: Discovering Collaboration

• Organization design

• Network analysis with networks

• Data for network analysis

• Preparing network data

• Creating and visualizing networks

• Analyzing networks

4. Use Case 3: Recommend Training Courses

• Employee development

• User-item recommendations

• Ratings data for recommendations

• Prepare for embedding

• Building a Keras rating model

• Recommending courses with Keras

5. Other HR Use Cases

• Predict future employee performance

• Candidate outreach

• Automated candidate screening

• Employee virtual assistant

• Sentiment analysis

6. Generative AI for HR

• Generative AI review

• Text generation with LLMs

• Resume summarization

• Job description generation

• Employee self-help chatbot

• Resume skills extraction

• Resume skills extraction example

7. IT Ops Best Practices
(Note: This seems like it might belong to a different course section—confirm if it should be renamed to “HR Best Practices” instead)

• Model development best practices

• Using machine learning platforms

• Model serving best practices

• Security and privacy best practices

Conclusion

• Next steps