- This course covers AI-driven approaches for talent acquisition, workforce management, employee engagement, and performance analysis. Students will learn how AI optimizes HR functions, enhances decision-making, and improves workplace efficiency.
- Level: Intermediate
- Prerequisites: Basic understanding of HR principles and workforce management.
- Assessments: Micro Assessment weekly, Full Assessment in the final week.
Week 1-AI in Talent Acquisition and Recruitment
Learning Outcome Learn how AI automates and enhances hiring processes.1.1 AI-powered resume screening and candidate matching.
1.2 AI-driven chatbots for recruitment.
1.3 Predictive analytics in hiring success.
Practical Component
Implement an AI-powered resume screening tool.
Week 2-AI for Employee Performance and Engagement
Learning Outcome Understand how AI tracks and improves employee productivity and satisfaction.2.1 AI for real-time performance analytics.
2.2 AI-powered employee engagement tracking.
2.3 AI-driven training and development programs.
Practical Component
Create an AI-powered performance evaluation system.
Week 3-AI for Workforce Planning and Management
Learning Outcome Learn how AI helps in demand forecasting and optimizing workforce allocation.3.1 AI-driven workforce planning and scheduling.
3.2 Predictive analytics for workforce retention.
3.3 AI in succession planning.
Practical Component
Design an AI-powered workforce optimization model
Week 4-AI for Employee Well-Being and Mental Health
Learning Outcome Explore AI applications in monitoring and improving employee well-being.4.1 AI-powered mental health assessment tools.
4.2 AI-driven burnout detection and stress management.
4.3 Ethical considerations in AI-based employee monitoring.
Practical Component
Develop an AI model for workplace wellness tracking.
Week 5-AI for Diversity, Equity, and Inclusion (DEI) in HR
Learning Outcome Understand how AI promotes unbiased hiring and workplace diversity.5.1 AI-driven bias detection in recruitment.
5.2 AI-powered DEI analytics and reporting.
5.3 AI for fostering an inclusive workplace culture.
Practical Component
Use AI tools to analyze and improve diversity in a simulated hiring scenario.
Week 6-Capstone Project and Assessment
Learning Outcome Apply AI-driven HR techniques to a real-world scenario.6.1 Implement an AI-powered HR analytics or talent acquisition project.
6.2 Peer assessment and feedback.
6.3 Final project presentation and evaluation.
Practical Component
Students will present their AI-based HR solutions, demonstrating recruitment, performance analysis, or employee well-being insights.