Applied AI for Human Resources

Learn how to use AI to solve common HR challenges, such as recommending training and screening candidates, and to improve employee hiring, satisfaction, and retention.

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

• Model development best practices
• Using machine learning platforms
• Model serving best practices
• Security and privacy best practices

Conclusion

• Next steps