Why Adopting AI in Your Role Is Important Right Now
The Upskilling Trends Report 2025-26 states that although 69% of professionals believe AI is changing their roles, 78% of professionals are still positive about AI’s prospects for career advancement.
According to Deloitte’s State of AI in the Enterprise 2026, 40% of Indian businesses indicate considerable or complete utilization of AI, which is higher than the global average of roughly 28%. However, compared to 2–8% worldwide, only 0–4% report having high levels of AI expertise.
In light of this, the leadership ability to assess, commission, and oversee AI tools with business rigor will be the gap for business executives in 2026 rather than access to these tools. Today’s corporate executives are looking for an executive program designed specifically to close that gap.
What Will the Program Teach You?
The six modules that make up the seven-month AI leadership course take students on a step-by-step journey from the principles of AI to its strategic application in actual business settings. The curriculum prepares students to spearhead AI-enabled organizational transformation while fostering executive grasp of AI technology.
Data as a strategic enterprise asset, technology waves and innovation cycles, and the transition from digitization to intelligent enterprises are all covered in Module 1: AI, Innovation, and Business Strategy.
Enterprise data architecture and governance, cloud infrastructure and cybersecurity, analytics, and executive data storytelling are all covered in Module 2: Data, Analytics, and Decision Science.
Forecasting, categorization, risk modeling, model interpretation, and responsible AI decision-making are the main topics of Module 3: Machine Learning for Competitive Advantage.
Large Language Models, conversational AI, intelligent automation, prompt engineering, and responsible generative AI techniques are all covered in Module 4: Generative AI and Intelligent Automation.
Autonomous agents, multi-agent systems, agent orchestration, enterprise use cases, and governance mechanisms are all covered in Module 5: Agentic AI.
AI strategy, organizational preparedness, responsible AI governance, and creating AI-ready organizations are the main topics of Module 6: Leading, Governing, and Scaling AI.
After selecting an industry specialization track in Financial Services and FinTech, Supply Chain/Operations, Digital Marketing and MarTech, or Technology Leadership near the end of the program, students apply what they have learned through a domain-specific capstone project that focuses on resolving actual business problems.
In The Program, Who Will Instruct You?
Prof. Debmallya Chatterjee has taught, trained, and conducted research for more than 20 years.
Through Management Development Programs, he has trained business leaders and MBA students in a variety of industries, including manufacturing, automotive, renewable energy, consulting, and pharmaceuticals. He graduated from IIT (ISM) Dhanbad with a Ph.D.
Prof. Ashish Desai has been developing technology-driven financial services companies in the Middle East, Africa, and South Asia for more than 27 years. He has worked in industry, entrepreneurship, and policymaking. He was the Director of Monitoring and Evaluation at DMEO, NITI Aayog.
He has a Ph.D. from IIM Kozhikode and has worked for companies including Jumo, Aditya Birla Group, Motorola, FirstRand Bank, and Comviva.
Program Results and Executive Alumni Status
After completing the program successfully, students will be prepared to create AI-driven business strategies, use data and analytics to make executive decisions, use Agentic and Generative AI to spur innovation, and oversee the enterprise’s responsible adoption, governance, and scaling of AI.
Additionally, learners will be able to manage AI-enabled transformation projects, spot high-impact AI possibilities, and apply AI solutions to actual business problems.