Executive Development Programme Digital HR Transformation & AI Driven HR Analytics

This programme from XLRI addresses the rapid expansion of thought leadership and practice around leveraging digital technologies to support new ways of working in today’s hybrid workplace (in-person and remote environments). It focuses on the growing importance of data-driven people analytics and how organizational psychologists and HR practitioners can harness Artificial Intelligence and Machine Learning to transform the modern workplace.

For today’s HR professionals and organizational psychologists to succeed as strategic partners, they must go beyond traditional behavioral science and develop fluency in computing, analytics, and business acumen. The programme emphasizes the unique nature of behavioral and HR data, the complexities of HR systems, and the governance challenges associated with them.

Despite the growing importance of these capabilities, many organizations remain underprepared to build high-performing Digital HR and Analytics functions. These challenges are further magnified by the accelerated adoption of AI and ML applications in HR.

Through this programme, participants will gain exposure to:

By the end of the programme, participants will develop a strong understanding of organizational digital transformation, acquire the ability to perform advanced HR analytics, and learn how to design and apply AI and Machine Learning within a comprehensive human capital strategy.

This programme from XLRI addresses the rapid expansion of thought leadership and practice around leveraging digital technologies to support new ways of working in today’s hybrid workplace (in-person and remote environments). It focuses on the growing importance of data-driven people analytics and how organizational psychologists and HR practitioners can harness Artificial Intelligence and Machine Learning to transform the modern workplace.

For today’s HR professionals and organizational psychologists to succeed as strategic partners, they must go beyond traditional behavioral science and develop fluency in computing, analytics, and business acumen. The programme emphasizes the unique nature of behavioral and HR data, the complexities of HR systems, and the governance challenges associated with them.

Despite the growing importance of these capabilities, many organizations remain underprepared to build high-performing Digital HR and Analytics functions. These challenges are further magnified by the accelerated adoption of AI and ML applications in HR.

Through this programme, participants will gain exposure to:

By the end of the programme, participants will develop a strong understanding of organizational digital transformation, acquire the ability to perform advanced HR analytics, and learn how to design and apply AI and Machine Learning within a comprehensive human capital strategy.

The programme follows a highly immersive and application-oriented pedagogy designed to bridge theory with real-world organizational practice. Learning is anchored in in-class discussions, case analysis, hands-on analytical exercises, and real-time projects.

The primary mode of instruction is through LIVE interactive lectures, delivered online via the Internet to participants’ desktops or laptops. The sessions are conducted and facilitated by XLRI faculty, ensuring academic rigor and industry relevance.

Concepts are explained using real-life organizational examples, enabling participants to contextualize learning and apply frameworks directly to business and HR challenges. As part of the curriculum, participants will work on their respective HR functional areas through structured field work, which forms an integral component of the programme.

All enrolled participants receive access to the XLRI Cloud Campus, a comprehensive digital learning platform that provides reference materials, recorded sessions, assessments, case studies, projects, and assignments.

Participants can interact with faculty members in real time during live classes or engage offline through the Cloud Campus to raise questions and clarify doubts throughout the duration of the programme.

Assignments are designed around key topics to promote experiential learning. Participants are encouraged to discuss challenges faced during assignments at the beginning of subsequent sessions, ensuring timely clarification, continuous engagement, and a structured learning progression.