Introduction:

Artificial intelligence is transforming human resources by improving decision-making, enhancing operational efficiency, and supporting more data-driven workforce management. It integrates talent acquisition, performance management, workforce planning, people analytics, employee experience, learning and development, automation, and digital governance to strengthen human capital management. This training program explores modern AI applications across key HR functions, with emphasis on institutional frameworks and contemporary practices. It provides an organizational perspective on how AI can enhance productivity, improve workforce decisions, and support digital transformation in human resources.

Program Objectives:

By the end of this program, participants will be able to:

• Analyze AI applications across key human resources functions.

• Evaluate intelligent approaches to talent acquisition and workforce planning.

• Assess the role of AI in performance management and employee experience.

• Examine governance, ethics, and data privacy considerations in HR technologies.

• Explore modern AI practices that support digital HR transformation.

Target Audience:

• Human Resources Managers.

• Talent Acquisition and Talent Management Professionals.

• Organizational Development Professionals.

• Digital Transformation and Innovation Professionals.

• Human Capital Management Specialists.

Program Outline:

Unit 1:

Artificial Intelligence and Digital HR Transformation:

• Artificial intelligence concepts in human resources.

• Digital transformation in human capital management.

• AI applications across HR functions.

• Intelligent automation models for HR operations.

• AI adoption strategies in HR environments.

Unit 2:

AI in Talent Acquisition and Talent Management:

• AI-enabled talent acquisition.

• Intelligent candidate screening and assessment.

• Talent management through AI technologies.

• Data-driven workforce planning.

• Talent acquisition performance indicators.

Unit 3:

AI in Performance Management and Employee Experience:

• Intelligent performance analytics.

• Employee productivity measurement.

• AI-supported employee experience.

• AI-enabled learning and development.

• Predictive people analytics.

Unit 4:

AI Governance, Ethics, and HR Risk:

• AI governance in human resources.

• Ethical use of employee data.

• Privacy and employee data protection.

• Regulatory and compliance considerations.

• Risk management for AI-enabled HR systems.

Unit 5:

The Future of Intelligent Human Resources:

• Intelligent HR operating models.

• Generative AI in human resources.

• AI-supported workforce decision-making.

• Innovation in human capital management.

• Global trends in AI and human resources.