STAGE 1
FOUNDATIONS
- Future of Management in the AI Economy
- Generative AI for Leaders
Lead digital transformation in the AI era
International & Industry Knowledge Partners
Source: Ranking's from BizEd Impact Analysis 2026 by Financial Times
Artificial Intelligence is reshaping how organisations operate, compete, and create value. For business leaders and management professionals, the opportunity lies not just in understanding AI, but in applying it strategically to drive business performance, improve decision-making, and lead organisational transformation.
The Executive Program in Management and AI, jointly offered by IMT Ghaziabad and NAL Academy, equips working professionals and aspiring leaders with the skills to integrate Artificial Intelligence into business strategy and management. The program explores practical AI applications for smarter decision-making, operational efficiency, innovation, and business growth. Combining management principles with AI-driven insights, it prepares participants to identify emerging opportunities, drive AI-enabled transformation, and lead effectively in an evolving digital business landscape.
Harvard Case Studies | Case Based Pedagogy
Integrated into Modules + Dedicated Hands-on Module
International & Industry Knowledge Partners
Designed for professionals with 5-20+ years of experience including:
STAGE 1
STAGE 2
STAGE 3
STAGE 4
How AI is reshaping business models, competition and the manager's role, with financial services as the lens. Participants leave with a clear view of where their own organisation stands.
AI Readiness Scorecard and benchmark for your own organisation
ChatGPT, Perplexity, MS Excel
Hands-on use of generative AI for executive work: how it works, where it helps, where it fails, and how to build it safely into research, reporting and everyday workflows.
Build five executive AI toolkits: Board Report, Business Proposal, Financial Analysis, Marketing Campaign, SOP Generator
ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, NotebookLM, Gamma, Power Automate
The analytical core of the programme. Participants work on real banking and fintech data, from KPIs and dashboards to the machine learning models that drive credit, fraud and customer decisions.
Credit-scoring and fraud-detection models, customer segmentation and a Power BI executive dashboard on real banking data
MS Excel, Power BI Desktop, SQL, Google Colab, Orange Data Mining, Hugging Face
Turning analysis into strategy: separating prediction from judgement, forecasting under uncertainty and testing strategies against scenarios before committing.
Business forecast and scenario simulation; Strategy War Game
MS Excel, Power BI Desktop, ChatGPT, Perplexity
AI applied where value is created: finance, marketing, HR and operations. Participants use the models built earlier to make lending, campaign and talent decisions, then redesign a function in their own organisation.
Credit Committee and Loan Negotiation simulations; redesign of a business function
Orange Data Mining, MS Excel, Power BI Desktop, Power Automate
Using AI safely in regulated businesses: fairness, privacy, cybersecurity, governance and the regulatory direction in India, including the RBI's FREE-AI framework.
Bias audit of a credit model; AI risk register; AI Incident Response simulation
Orange Data Mining, NotebookLM
Why AI programmes succeed or fail on people and process, and how leaders drive adoption, build AI capability and show return on investment.
Transformation roadmap with ROI for your own organisation
MS Excel, Gamma
Fully experiential. Teams take an industry challenge from idea to working AI prototype, with a business case and ROI, mentored by faculty and presented online to a panel.
AI prototype, business case, ROI and executive pitch
Challenges in Customer Experience, Banking, Manufacturing, Health Care, Retail, HR and Supply Chain
Any programme tool
Professor, HR & OB
Dr. Bindu Gupta received her PhD in Psychology from IIT Kanpur, India. She has more than 24 years of experience in teaching, research, and training. She teaches subjects such as organizational behavior, cross-cultural skills for managers, performance management, and managing a high-performance team, and conducts sessions on personal growth. Some of her interest areas of research include self-leadership, responsible leadership, knowledge hiding, unethical behavior, workplace dignity, etc.
Assistant Professor,
Business Analytics
Dr. Fehmina Malik is currently an Assistant Professor in the Business Analytics area at IMT Ghaziabad. She previously held a postdoctoral research position at the University of Avignon, France, where her work focused on explainable artificial intelligence (XAI). Before this, she served as an Assistant Professor at Lal Bahadur Shastri Institute of Management, New Delhi, for two years
NAL Academy Limited (formerly known as NSE Academy Limited) is a subsidiary of the National Stock Exchange of India Ltd. NAL Academy Limited enables the next generation of BFSI and FinTech professionals with industry-aligned skills – through capacity building programs and certification courses, powered by an online examination and certification system. The courses are well researched and carefully crafted with inputs from the industry professional. NAL Academy Limited works closely with reputed universities and institutions across India in building a competent workforce for the future of BFSI and FinTech. NAL Academy Limited also promotes financial literacy as an essential life skill among youngsters – a contribution towards financial inclusion and wellbeing.
IMT Ghaziabad, a leading B School in India, offers programs in the area of Management at the post-graduate level and doctoral level. IMT Ghaziabad is accredited by South Asian Quality Systems (SAQS) & the National Board of Accreditation (NBA) and is committed to nurturing socially responsible business leaders through quality management education.
The mission of IMT Ghaziabad is to promote academic excellence, enhance industry readiness through learner-centric pedagogy and industry-inspired curriculum, and instill social conscientiousness.