Generative Artificial Intelligence in Management (GenAI in Management)

Total: 40 hours
Mar 07 – Apr 11, 2026

The ‘Generative Artificial Intelligence in Management (GenAI in Management)’ program provides participants with a deep understanding of how GenAI functions across different business areas. The participants will develop skills to apply GenAI in decision-making, improve presentation techniques, and formulate effective marketing strategies. The course covers fundamental and advanced coding & analysis concepts, including the use of GenAI for extracting insights, whether or not you're familiar with R/Python. The participants will be able to use GenAI for short and long-term strategic planning and have a solid foundation to understand how GenAI can help in innovation and its management. The innovators will also explore the potential risks of GenAI to jobs and society, along with concerns about misuse, followed by policies and GenAI governance, around the world. Regulatory approaches, ethical considerations, and practical dilemmas related to GenAI will be discussed. Case studies in autonomous driving, startups, personal branding, and data analysis offer practical insights applicable to real-world scenarios. Ultimately, this course prepares participants for the future of AI in business, emphasizing responsible and effective use.

Module 1: Introduction to AI

Mar 07 & 08, 20266 hours
  • Overview of AI
  • Overview of ML
  • Supervised vs Unsupervised Learning
  • Introduction to Neural Networks
  • Introduction to Deep Learning

Module 2: Introduction to GenAI

Mar 14, 20264 hours
  • Understanding Your Industry Problems
  • Background and Overview
  • Evolution of AI
  • Understanding the Scope
  • Group Activity

Module 3: GenAI in Decision-Making

Mar 15, 20264 hours
  • Understanding the Pros and Cons
  • Introduction to Tools and Prompting
  • Case Building
  • Case Study on Autonomous Driving
  • Group Activity/Invited Speaker

Module 4: GenAI for Presentations

Mar 21, 20264 hours
  • Basics of Good Presentations
  • Different approaches for presentations
  • Case Study on Your Startup Idea
  • Group Activity/Invited Speaker

Module 5: GenAI in Marketing

Mar 22, 20264 hours
  • Using GenAI for Marketing Copy
  • Using GenAI for Social Media
  • Audio and Video Generation Tools
  • Better Prompting
  • Group Activity/Invited Speaker

Module 6: GenAI for Coding & Analysis

Mar 28 & Mar 29, 20266 hours
  • Basics of Data Analysis
  • Using GenAI for Data Analysis with/without knowledge of Python
  • Vibe Coding (Hands-on)
  • Advanced Data Analysis
  • Group Activity/Invited Speaker

Module 7: GenAI in Strategic Planning

Mar 29 & Apr 04, 20263 hours
  • State of Strategic Planning today
  • How GenAI can improve Strategic Planning
  • Short-Term Planning Enhancements
  • Long-Term Planning Enhancements
  • Group activity/Invited Speaker

Module 8: GenAI for Innovation Management

Apr 04, 20263 hours
  • The 4 types of Innovation
  • How GenAI can help in Innovation and Innovation Management
  • AI and humans in innovation teams
  • Review of AI Products
  • Group activity/Invited Speaker

Module 9: Risks/Ethics of GenAI

Apr 05, 20264 hours
  • Risk to Jobs, Society, Bad Actors
  • Regulatory Approaches, Ethical Implications, and Dilemmas
  • Case Studies
  • Group Activity/Invited Speaker

Module 10: GenAI and Public Policy

Apr 11, 20262 hours
  • GenAI and India/China/Brazil/UK/US etc.
  • GenAI and LAC, EU, G7, OECD, etc.
  • Private Initiatives (GPAI, Forum, Partnerships)
  • Group Activity/Invited Speaker

Faculty

Prof. Vaibhav Chaudhary also known as ‘Pepe’ among colleagues and friends, is a global educator of AI & Innovation and an entrepreneur with experience spanning academia, startups, and international development in India, Europe, and the Americas, bridging the worlds of paper, practice, and policy, with current research focusing on the intersection of AI, Entrepreneurship, and Sustainability, serving as Editor of the REGEPE Entrepreneurship and Small Business Journal (Scopus/Scielo), and on invitations from various organizations, Prof. Chaudhary has designed and taught E omovutut courses to students and working executives from Asia, Europe, and the Americas, having trained several Founders, CEOs, CTOs, Directors, and Professors including senior academics from Columbia University, Rutgers University, IIM Bangalore, senior executives from JP Morgan, SAP, Deloitte, and senior officials from the governments of the UK, India, and Singapore, and is also the Founder of InnoTech Consultants (InnoCon) providing AI/ML and software solutions, with interests in cross-border innovation, international funding, and consulting, serving as an advisor to various boards and organizations, with an academic journey spanning IIT Bombay (India), UNICAMP (Brazil), NHH (Norway), and Vanderbilt (USA).

Prof. Preet Deep Singh is an adjunct professor of AI and is a part of the Global 100 in AI list by Apolitical; Preet served at Invest India, the national investment promotion agency of India, under the Ministry of Commerce and Industry, leading AI Adoption for the Government, and has been actively involved in promoting the use of AI in public policy, having trained over 50,000 government officers, including the Prime Minister’s Office in India, to use Generative AI; Dr. Singh also serves as an Advisor (Public Policy) to IGE and is a Vice President at Apna.co, a unicorn to match jobs with candidates, where he leads Strategy and AI enablement, is a Gold Medallist PhD from IIM Ahmedabad, has published several papers and book chapters, is ranked in the top 5% of all researchers on the Social Science Research Network, is passionate about teaching and mentoring the next generation of leaders and innovators, teaches at IIT Kanpur, IIT Bombay, and IIM Sambalpur, and has been invited to speak at several national and international forums on emerging technologies, entrepreneurship, and economic development.

Prof. Shiva Venkatraman is an adjunct professor of AI whose goal in teaching is to provide students with a practical, hands-on approach to any topic that they learn so that they can apply the concepts and learning outcomes from his class back into their professional and personal lives, with teaching experience spanning from Engineering Economics as a Teaching Assistant at Purdue University to teaching Entrepreneurship, Sales Management, Marketing, Business Ethics, Digital Transformation, Analytics/Data Science, and Venture Capital Fund Modeling, and in all his classes he brings out case studies from his professional experiences across a diverse range of industries like Software/High-Tech, Telecom, Corporates, New Ventures/Startups, Venture Capital, Finance/Banking, etc., and makes the students perform exercises in class; Shiva is the Founder and CEO of Varidus Asia Pacific Ventures, a Venture Building Firm in Singapore, and an alumnus of MIT Sloan School of Management, Purdue, and IIT Bombay, and teaches as an Adjunct Professor at Embry Riddle Aeronautical University, SP Jain School of Management, and as a guest faculty at SMART.MIT.EDU (MIT and Singapore Govt. alliance), Harvard Extension, and Farleigh Dickinson University.

Prof. Niteesh Kumar is an adjunct professor of AI. He is a seasoned technology professional with nearly a decade of experience across the software industry, spanning fintech, healthtech, and cloud-native product companies. His work has involved building and scaling enterprise-grade systems across diverse domains, with a strong focus on robust architecture, performance, and real-world reliability. Niteesh brings deep hands-on expertise in Java, Kotlin, JavaScript and JS Frameworks, Android, iOS, and hybrid application development, along with extensive experience in large-scale enterprise software systems. Over the years, his work has expanded into cloud platforms (AWS), machine learning, and Generative AI, where he actively applies modern AI techniques to production-grade systems. In addition to his industry work, Prof. Kumar teaches and mentors students and professionals on the responsible and practical use of AI in software development. He has delivered sessions at premier institutions like IIT Bombay, bridging academic rigor with industry relevance. Niteesh is an alumnus of the University of Delhi and MNNIT Allahabad.

Department of Computer Science, Hansraj College
Member, IQAC

Department of Mathematics, Hansraj College
Convenor, DISHA & Member, IQAC

Department of Economics, Hansraj College
Director, IQAC

Program Coordinators

Naman

Varsha

Nisha

Mahi

Important Note

Course registration is non-refundable, non-changeable, and non-transferable. However, if a duplicate payment occurs, the Hansraj College, University of Delhi, reserves the right, at its discretion, to issue a refund.