- 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 OutcomeLearn 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 OutcomeUnderstand 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 OutcomeLearn 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 OutcomeExplore 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 OutcomeUnderstand 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 OutcomeApply 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.