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

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

Conclusion

• Next steps