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Professional Certificate Program by IIT Roorkee

Human Resource Management & Analytics Using AI

Commencement Date

Navember 2026

Program Fees

1,10,000* + GST

Duration

6 Months

Application Closure Date

Friday, 04/09/2026

Session Timing

Saturday - Sunday

This programme is officially listed on the IIT Roorkee website

cec.iitr.ac.in

Certificate Issued by : Continuing Education Centre, Indian Institute of Technology Roorkee

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ABOUT THE PROGRAM

The Professional Certificate in Human Resource Management and Analytics using AI by IIT Roorkee is designed to equip learners with the knowledge and skills required to integrate data analytics and artificial intelligence into modern HR practices. The program enables participants to leverage data-driven insights for improved decision-making across key HR functions such as recruitment, training, and performance management, while building awareness of AI-powered tools transforming the HR landscape. A distinctive feature of the course is its special module on sustainability in HR, which introduces concepts such as green HRM, ethical workforce practices, and the role of HR in driving ESG (Environmental, Social, and Governance) goals. With a strong emphasis on practical application, the program encourages learners to adopt innovative, responsible, and future-ready approaches to human resource management.

Students
💳 Program Fees1,10,000* + GST
Registration Fees5,000 + GST
*Easy instalment options available
*Campus Immersion fees is included in the overall program fee, Twin-sharing accommodation and meals will be provided. Travel expenses will not be covered and will have to be borne by the participants.
  • To train learners in concepts of HR analytics and AI in HR.
  • To help learners understand how data can support better HR decisions.
  • To develop awareness of AI tools used in hiring, training, and performance management etc.
  • To promote practical thinking on the use of technology in modern HR practices.

SAMPLE CERTIFICATE OF COMPLETION

Certificate

PROGRAM CO-ORDINATOR

Professor

Prof. Rajib Lochan Dhar

Professor, Department of Management Studies, IIT Roorkee

Prof. Rajib Dhar is a distinguished figure in Human Resources, renowned for his extensive expertise and transformative impact. With over 1000 professionals trained, he excels in talent development, employee engagement, and diversity management. However, it’s his pioneering work in HR analytics that truly sets him apart.

In an age where data reigns supreme, Prof. Dhar’s guidance empowers professionals to navigate the complexities of HR analytics with confidence. His approach goes beyond theory, focusing on practical applications that drive strategic HR decisions and enhance organizational performance.

From talent analytics uncovering the potential of individuals to engagement analytics fostering a thriving workplace culture, Prof. Dhar’s expertise extends to retention, compensation, and performance analytics. Through his insights, professionals learn to leverage data-driven strategies to attract, retain, and develop top talent, optimize compensation structures, and drive performance excellence. Join Prof. Dhar on a journey where knowledge meets innovation, and analytics reshapes the HR landscape.

ADVISORY COMMITTEE

  • Prof. Tanuja Agarwala - FMS Delhi
  • Prof. Piyali Ghosh - IIM Ranchi
  • Prof. Venkatesh - IIFT
  • Prof. Gunjan Joshi - Faculty - Nyenrode Business University, Netherlands
  • Prof. Nidhi Bhist - MDI Gurgaon
  • Om Prakash - Founder & CEO — DEIBRAIN AI
  • R Om Prakash - CEO - Insight360.ai
  • Sparsh Agarwal - Founder - Pixa AI
  • Kiran Mishra - Director, Compensation & Analytics - Morgan Stanley
  • Dr. Sashikant - Associate Relations & IR Lead - MARS
  • Mahua Dhar - Vice President - Wells Fargo
  • Shivam Dikshit - VP HR - HSBC
  • Harjeet Khanduja - Sr. Vice President HR - Jio
  • Dhanesh Srinivasan - Vice President, Compensation & Benefits - RBL Bank
  • Ankit Agarwal - AVP - HDFC Bank
  • Dr. Sujay Narayana - CEO & CTO (Co-Founder) - Skynetics
  • Hemant Kumar - Executive Director - Wells Fargo

Admission Process

iconSubmit Application Form
iconDocument Submission
iconEligibility Check
iconConfirmation of Admission
iconPayment of Course Fee
iconEnrollment & Orientation
iconCommencement of Classes

iconSubmit Application Form

Interested candidates must fill out the online or offline application form provided by the institution. The form requires basic personal details, educational background, and contact information.

Why Human Resource Management, Analytics & AI Matters

Human Resource Management is evolving with the growing use of data, analytics, and Artificial Intelligence. Modern organizations use HR data and AI-enabled technologies to improve recruitment, workforce planning, employee engagement, performance management, learning, and strategic decision-making.
HR Analytics and AI help organizations move beyond traditional HR practices by using data-driven insights, automation, and intelligent technologies to support better people decisions.

Strategic HR Decision-Making

Understand how HR analytics and AI can support data-driven decision-making and help align people strategies with organizational goals.

Talent Acquisition

Learn how data and AI can support talent sourcing, resume screening, candidate assessment, recruitment analysis, and better hiring decisions.

Workforce Planning

Understand how workforce data and AI-supported insights can help organizations analyze current talent, identify skill requirements, and plan for future workforce needs.

Employee Engagement

Explore how HR analytics can help organizations understand employee engagement, workplace satisfaction, feedback, and employee experience.

Performance Management

Learn how data and analytics can support employee performance evaluation, development, productivity, and organizational growth.

The Future of HR

Explore emerging trends, including Generative AI, predictive analytics, HR automation, people analytics, AI-powered HR tools, and technology-enabled decision-making.

ESG Sustainability Reporting Frameworks

Key Areas Covered

The program provides an understanding of the key concepts, applications, and processes involved in Human Resource Management, HR Analytics, People Analytics, and Artificial Intelligence in HR.

01

Human Resource Management

  • Understand the role and evolution of Human Resource Management in modern organizations.
  • Explore key HR functions, including recruitment, employee engagement, performance management, compensation, learning, and talent development.
  • Learn how HR contributes to people strategy and organizational performance.
02

HR Analytics

  • Understand the concepts and importance of HR Analytics in modern workforce management.
  • Explore how HR data can be used to generate insights and support better people decisions.
  • Learn how HR metrics and workforce information can support organizational planning.
03

People Analytics

  • Understand how employee and workforce data can be analyzed to identify patterns and trends.
  • Explore the role of people analytics in improving employee experience and organizational effectiveness.
04

Artificial Intelligence in HR

  • Understand the growing role of Artificial Intelligence in Human Resource Management.
  • Explore AI applications in recruitment, employee support, learning, workforce planning, and HR decision-making.
  • Learn how AI can support the automation of repetitive HR activities and improve HR processes.
05

Generative AI for HR

  • Understand how Generative AI can support modern HR activities.
  • Explore its use for creating job descriptions, interview questions, employee communications, HR documents, learning content, and other HR-related materials.
  • Understand the importance of reviewing AI-generated content before using it for HR decisions.
06

AI-Powered Recruitment

  • Explore how AI can support recruitment and talent acquisition processes.
  • Understand applications such as resume screening, candidate matching, talent sourcing, recruitment analysis, and candidate assessment support.
07

AI for Employee Experience

  • Understand how AI-enabled tools and chatbots can support employee queries, onboarding, learning, and access to HR-related information.
  • Explore the role of AI in improving employee support and workplace experience.
08

Talent Analytics

  • Understand how data can support talent acquisition, talent development, skill assessment, and succession planning.
  • Explore the use of analytics for identifying and managing organizational talent.

Skills You’ll Develop

By completing this program, participants will be able to:

Understand HR Management Fundamentals

Explain key Human Resource Management concepts and understand their role in managing people and supporting organizational objectives.

Understand HR & People Analytics

Learn how employee and workforce data can be analyzed to generate meaningful insights and support HR decision-making.

Analyze Workforce Data

Assess workforce trends and identify patterns related to recruitment, employee engagement, performance, retention, skills, and talent management.

Collect & Evaluate HR Data

Learn methods for gathering, organizing, measuring, and evaluating employee and workforce-related information.

Apply AI in HR

Understand how Artificial Intelligence and AI-enabled technologies can support recruitment, learning, employee experience, workforce planning, and other HR functions.

Understand Generative AI Applications

Explore how Generative AI can support the creation of job descriptions, interview questions, HR communications, learning content, and other HR-related materials.

Understand Talent & Performance Analytics

Gain knowledge of how analytics can be applied to talent management, employee performance, skills, and workforce development.

Identify Skills & Workforce Gaps

Understand how data and AI-supported approaches can help identify skill gaps and support workforce development planning.

HR Analytics & AI Journey

The program provides an understanding of the key stages involved in applying analytics and Artificial Intelligence to modern Human Resource Management.

1

Understand Modern HR

The program provides an understanding of the key stages involved in applying analytics and Artificial Intelligence to modern Human Resource Management.

2

Identify HR Challenges

Understand key challenges related to recruitment, employee engagement, performance, retention, talent management, skills, and workforce planning.

3

Collect HR Data

Learn about gathering, organizing, and managing employee and workforce-related data while understanding the importance of data quality and privacy.

4

Analyze Workforce Data

Understand how to evaluate HR data and identify meaningful patterns, trends, and insights related to the workforce.

5

Apply HR Analytics

Explore how analytics can be applied across recruitment, employee engagement, performance management, talent development, retention, and workforce planning.

6

Apply AI in HR

Understand how Artificial Intelligence and AI-enabled tools can support recruitment, learning, employee support, HR automation, workforce planning, and people-related decisions.

7

Explore Generative AI

Understand how Generative AI can support HR communication, content creation, job descriptions, interview preparation, learning content, and other HR activities.

8

Generate HR Insights

Learn how workforce and employee data can be transformed into meaningful insights to support HR and organizational decision-making.

9

Support Strategic HR Decisions

Explore how HR analytics and AI-supported insights can support workforce planning, talent strategy, organizational development, and business performance.

Who Should Attend

This program is designed for professionals and individuals interested in developing knowledge in Human Resource Management, HR Analytics, People Analytics, and Artificial Intelligence applications in HR.

01

HR Professionals

Including HR executives, HR managers, HR generalists, and HR business partners seeking to expand their knowledge of analytics and AI.

02

Talent Acquisition & Recruitment Professionals

Professionals involved in recruitment, candidate assessment, talent sourcing, and hiring who want to understand data-driven and AI-enabled HR practices.

03

Corporate Managers & Executives

Professionals involved in people management, workforce strategy, organizational development, and business decision-making.

04

Learning & Development Professionals

Professionals responsible for employee training, skill development, learning initiatives, and workforce capability development.

05

Compensation & Benefits Professionals

Individuals involved in compensation, rewards, benefits, and workforce-related analysis and decision-making.

06

Data & Business Analysts

Professionals interested in applying data analysis, analytics, and AI concepts within Human Resources and workforce management.

07

Management Professionals

Professionals looking to understand the strategic role of HR, workforce analytics, and Artificial Intelligence in modern organizations.

08

Entrepreneurs & Business Owners

Business leaders looking to improve workforce management and use data-driven and AI-supported approaches to support people and business growth.

Career Opportunities

Completing a course in Human Resource Management & Analytics Using AI can support participants in exploring opportunities in HR, people analytics, workforce management, talent strategy, and technology-enabled HR functions.

01

HR Analyst

Analyze employee and workforce data to support HR operations, people decisions, and organizational planning.

02

People Analytics Analyst

Analyze workforce trends and employee data to generate insights related to engagement, performance, retention, and organizational effectiveness.

03

HR Business Partner

Support organizations by aligning HR and people strategies with business objectives and workforce requirements.

04

Talent Acquisition Analyst

Analyze recruitment and candidate-related data to support hiring strategies, talent planning, and recruitment effectiveness.

05

Workforce Planning Analyst

Assess workforce requirements, skills, capacity, and future talent needs to support organizational planning.

06

Talent Management Specialist

Support talent development, employee growth, succession planning, skill management, and workforce capability initiatives.

07

Employee Engagement Specialist

Analyze employee feedback and engagement-related information to support workplace culture and employee experience.

08

Compensation & Benefits Analyst

Analyze compensation, rewards, benefits, and workforce-related data to support HR decision-making.

09

HR Technology & AI Specialist

Work with technology-enabled HR systems and explore AI applications that support automation, analytics, employee support, and improved HR processes.

10

Learning & Development Analyst

Analyze learning, skills, and employee development data to support workforce capability and training initiatives.

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