Introduction
Artificial intelligence and human resources
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Course prerequisites
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1. Human Resources and AI
Introduction to HR
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HR challenges
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AI and HR
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HR use cases overview
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Setting up the exercise files
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2. Use Case 1: Predicting Employee Attrition
Employee attrition
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Classification with deep learning
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Data for employee attrition
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Preprocessing attrition data
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Building an attrition model with Keras
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Predicting attrition with Keras
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3. Use Case 2: Discovering Collaboration
Organization design
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Network analysis with networks
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Data for network analysis
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Preparing network data
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Creating and visualizing networks
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Analyzing networks
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4. Use Case 3: Recommend Training Courses
Employee development
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User item recommendations
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Ratings data for recommendations
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Prepare for embedding
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Building a Keras rating model
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Recommending courses with Keras
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5. Other HR Use Cases
Sentiment analysis
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Predict future employee performance
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Candidate outreach
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Automated candidate screening
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Employee virtual assistant
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6. Generative AI for HR
Generative AI review
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Text generation with LLMs
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Resume summarization
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Job description generation
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Employee self-help chatbot
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Resume skills extraction
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Resume skills extraction example
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7. IT Ops Best Practices
Model development best practices
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Using machine learning platforms
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Model serving best practices
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Security and privacy best practices
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Ex_Files_Applied_AI_HR.zip
(60 KB)