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.
Overview
Syllabus
Introduction
- Artificial intelligence and human resources
- Course prerequisites
- Introduction to HR
- HR challenges
- AI and HR
- HR use cases overview
- Setting up the exercise files
- Employee attrition
- Classification with deep learning
- Data for employee attrition
- Preprocessing attrition data
- Building an attrition model with Keras
- Predicting attrition with Keras
- Organization design
- Network analysis with networks
- Data for network analysis
- Preparing network data
- Creating and visualizing networks
- Analyzing networks
- Employee development
- User item recommendations
- Ratings data for recommendations
- Prepare for embedding
- Building a Keras rating model
- Recommending courses with Keras
- Predict future employee performance
- Candidate outreach
- Automated candidate screening
- Employee virtual assistant
- Sentiment analysis
- Generative AI review
- Text generation with LLMs
- Resume summarization
- Job description generation
- Employee self-help chatbot
- Resume skills extraction
- Resume skills extraction example
- Model development best practices
- Using machine learning platforms
- Model serving best practices
- Security and privacy best practices
- Next steps
Taught by
Kumaran Ponnambalam