Leveraging Artificial Intelligence for Workforce Analytics and Planning

Course Objectives

• Understand the fundamentals of workforce analytics and its role in organizational planning.
• Explore how artificial intelligence (AI) enhances workforce analytics and decision-making.
• Develop practical skills to implement AI-driven workforce planning tools.
• Evaluate and address ethical and data privacy concerns in AI applications.

Course Content

Introduction to Workforce Analytics and AI

• Overview of workforce analytics and its importance in business strategy.
• Basics of artificial intelligence and its relevance to workforce planning.
• Key data sources for workforce analytics.
• Case studies: Companies leveraging AI for workforce optimization.

AI Tools and Techniques in Workforce Analytics

• Overview of AI technologies used in workforce analytics (e.g., machine learning, predictive analytics).
• Applications of AI:
  • Talent acquisition and recruitment.
  • Employee performance and retention analysis.
  • Succession planning and skills gap identification.
• Hands-on activity: Exploring workforce analytics dashboards/tools.

Implementing AI for Workforce Planning

• Steps to integrate AI into workforce planning processes.
• Building AI models: Key considerations and challenges.
• Change management and training for AI adoption.
• Interactive discussion: Barriers to implementation and how to overcome them.

Ethical Considerations and Future Trends

• Addressing data privacy and ethical concerns in AI-driven analytics.
• Bias in AI: Identification and mitigation strategies.
• Future trends in workforce analytics and the role of generative AI.
• Final group activity: Drafting an AI-driven workforce planning roadmap for a hypothetical organization.

DATE:

1ST BATCH:        30th Mar – 2nd Apr, 2026       

2ND BATCH:       21st – 24th Jul, 2026 

3RD BATCH:       17th – 20th Oct, 2026