Artificial Intelligence for Senior Leaders [Batch-11]
Artificial Intelligence(AI) has become a decisive technology for the growth of every organization. Sophistication in AI is expected to be the main differentiator between high-performing companies and low-performing companies.
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Program Dates
08 Jun 2026 - 10 Jun 2026
Duration: 03 Days
Fee
Residential: ₹ 1,15,500 + Taxes
Non-Residential: ₹ 99,000 + Taxes
Residential Early Bird: ₹ 1,03,950 + Taxes
Non-Residential Early Bird: ₹ 89,100 + Taxes
Aplication Date
Early Bird: 18 May, 2026
Last Date to Register: 29 May, 2026
Format
In-Person
Venue
IIMB Campus
Fee
Residential: ₹ 1,15,500 + Taxes
Non-Residential: ₹ 99,000 + Taxes
Residential Early Bird: ₹ 1,03,950 + Taxes
Non-Residential Early Bird: ₹ 89,100 + Taxes
Format
In-Person
Venue
IIMB Campus
Program Dates
08 Jun 2026 - 10 Jun 2026
Duration: 03 Days
Aplication Date
Early Bird: 18 May, 2026
Last Date to Register: 29 May, 2026
Contact Us
Connect with our advisor to assess your fit and readiness for this programme:
Overview
Artificial Intelligence(AI) has become a decisive technology for the growth of every organization. Sophistication in AI is expected to be the main differentiator between high-performing companies and low-performing companies. The use of AI and its components such as statistical, machine and deep learning are expected to increase the stakeholder value and customer experience and satisfaction. The algorithmic aspects of AI are available readily through many sources; however, many companies still struggle with adapting AI to the organization. For example, companies struggle to find answers to the following questions :
•What constitutes an AI company?
•What should be the strategy for building an AI initiative within an organization?
• How to build an AI team?
• What problems can be solved using AI?
• Understate Generative AI and Its Applications.
Content
Introduction to Artificial Intelligence (AI), Machine Learning (ML), Statistical Learning (SL) and Deep Learning (DL):
Intuitive understanding of AI; Relationship between AI, ML, SL and DL; Converting a business problem into an analytics problem, analytics problem solving framework; Use cases of AI across different functional areas and different industries; Business process automation using AI.
Machine Learning: Supervised, Unsupervised and Reinforcement Learning Algorithms.
AI/ML Model Development: Feature Extraction; Feature Engineering; Feature Selection; Model Selection and Model Deployment.
Introduction to Descriptive, Predictive and Prescriptive Analytics:
Objectives of Descriptive Analytics: Storey telling using Data; Predictive Analytics Models: Regression, and Logistic Regression; Prescriptive Analytics: Linear Programming and Multi-Criteria Decision Making.
Cases:
Package Pricing at Mission Hospital
Improving Sales Conversion at Eureka Forbes Using Machine Learning Algorithms.
Setting up an AI team:
Choosing the right team; roles and responsibilities; Organizational Structure: Centralized and Distributed Models; Key skill set; fresh hire vs internal training.
Analytics Technology Landscape:
Choosing the right tools and platforms for development and deployment of AI based solutions.
Data Governance:
Data Governance Framework; Data Privacy, Security, Quality and Responsibility; General Data Protection Regulation (GDPR);
AI Deployment:
AI in sales and marketing: opportunity and sales conversion; channel optimization; customer lifetime value; AI in Operations: supply chain analytics; AI in Retail: Assortment planning, brand switching, promotion effectiveness; AI in Banking and Finance: Credit Rating
Programme Highlights
The programme integrates on-campus immersion, live-online learning, real-world cases, masterclasses, and an applied Business Leadership Challenge to develop the strategic and technological capabilities needed to lead digital transformation.
2 Intensive Campus Immersions
Experience two transformative on-campus immersions combining strategic learning and real-world application
Business Leadership Challenge
Drive measurable outcomes through an applied leadership challenge rooted in real business scenarios
MasterClasses
Gain practical insights from industry leaders through interactive masterclasses
Innovation Centre Visit
Explore cutting-edge technologies and gain firsthand insight into how innovation fuels new digital products and services
Future-ready Perspectives
Build a future-ready mindset to navigate disruption, drive innovation, and sustain growth
Case-based Learning
Analyse real business challenges using case studies that bridge theory with practical application
Programme Objective
This short-duration program is aimed at the managers who are currently leading and are likely to lead AI initiatives in the organization. The course covers the aspects such as Organizational journey of AI transformation, data governance, data preparation for analytic model building and descriptive, predictive and prescriptive analytics. The objectives of the program are as follows:
Understand how to create strategy for building AI initiative within the organization with special focus on the following:
- Data governance strategy.
- Technology and Platform Strategy
- People and Skill Strategy
- Learn to create a roadmap for AI-first company.
- Understand key factors that can lead to success or failure of AI projects
- Understand how to choose the right use cases and prioritize key AI project
- Learn concepts and techniques in AI, such as statistical learning, machine learning, deep learning and Understand Generative AI and Large Language Models. Understand Generative Pre-Trained Transformer (GPT) and its business applications.
- Learn tools and techniques of descriptive, predictive and prescriptive analytics
- Understand the applications of supervised, unsupervised and reinforcement learning algorithms.
- Understand what tasks can be automated using AI.
- Understand data governance and data readiness for the application of AI.
- Learn how an organization can build an AI team? Roles and responsibilities of AI team and hiring or training to build an AI team.
- Learn about common mistakes while making AI transformation and how to avoid them
- AI and society / responsible AI
- How AI can be used or what are the different use cases in different industries.
Pedagogy
The program will be driven by use cases from across different domains. The focus will be on strategic issues of AI with limited focus on hands-on experience.
Faculty
Professor Sankarshan Basu
U Dinesh Kumar is a Professor of Decision Sciences and Chairperson of Data Centre and Analytics Lab (DCAL) at IIM Bangalore and holds a Ph.D. in Mathematics from IIT Bombay. Dr Dinesh Kumar introduced Business Analytics elective course in 2008 to the PGP students at IIM Bangalore and started one of the first certificate programmes in Business Analytics in India in 2010.
Professor Sankarshan Basu
U Dinesh Kumar is a Professor of Decision Sciences and Chairperson of Data Centre and Analytics Lab (DCAL) at IIM Bangalore and holds a Ph.D. in Mathematics from IIT Bombay. Dr Dinesh Kumar introduced Business Analytics elective course in 2008 to the PGP students at IIM Bangalore and started one of the first certificate programmes in Business Analytics in India in 2010.
Dr Dinesh Kumar has over 20 years of teaching and research experience. Prior to joining IIM Bangalore, Dr Dinesh Kumar has worked at several reputed Institutes across the world including Stevens Institute of Technology, USA; University of Exeter, UK; University of Toronto, Canada; Federal Institute of Technology, Zurich, Switzerland; Queensland University of Technology, Australia; Australian National University, Australia and the Indian Institute of Management Calcutta.
Dr Dinesh Kumar has published more than 70 research articles in leading academic journals. Forty two of his case studies on Business Analytics based on Indian and multinational organizations such as Aavin Milk Dairy, Apollo Hospitals, Bigbasket, Bollywood, Flipkart.com, Hewlett and Packard, ISKCON, Jayalaxmi Agro Tech, Larsen & Toubro, Manipal Hospitals, Mission Hospital, Hindustan Aeronautics Limited, Indian Premier League, Reliance Retail, Shubham Housing Finance Limited, VMWare have been published at the Harvard Business Publishing’s case portal. His case studies are used by more than 220 Institutions across 61 countries across the world. He has authored 3 books, his recent book is titled, “Business Analytics – The Science of Data Driven Decision Making”, published by Wiley in 2017 which was an Amazon Best Seller.
Dr Dinesh Kumar has carried out predictive and prescriptive analytics consulting projects for organizations such as The Boston Consulting Group (India) Private Limited, Cavinkare, Hindustan Aeronautics Limited, Indian Army, Qatar Airways, Mission Hospital, Manipal Hospitals, Scalene Works, Wipro Limited, UNIBIC and the World Health Organization etc.
Dr Dinesh Kumar has conducted training program on Analytics for several companies’ companies such as Accenture, Aditya Birla Group, Ashok Leyland, Bank of America, Blue Ocean Market Intelligence, Cisco, Fidelity, Hindustan Aeronautics Limited, Honey Well, Infosys, ITC Info Tech, Ocwen financial Services and so on. Dr Dinesh Kumar conducts corporate training programme in Analytics and trained more than 1000 professionals in the field of analytics.
He is the founding president of the Analytics Society of India (ASI). Dr Dinesh Kumar was awarded the Best Young Teacher Award by the Association of Indian Management Institutions in 2003. He is listed as one of the top 10 analytics academics in India by the analytics India magazine. He is the governing council member of the Karnataka Government’s Centre of excellence for Data Science and Artificial Intelligence set up in Collaboration with NASSCOM.
Key Benefits/Takeaways
The program would result in the following benefits:
- Understanding of AI and its components.
- Ability to develop an AI initiation strategy for the organization.
- Understand various AI techniques and its applications across different functional areas and sectors.
- Understanding of data governance and setting up AI team within the organizations.
- Learn framework of developing deployable solutions using AI.
Who Should Attend?
Programme Charges
Programme Fee
INR 115500/- Residential and INR 99000/- Non -Residential (+ Applicable GST) per person for participants from India and its equivalent in US Dollars for participants from other countries.
Early Bird Discount
Nominations received with payments on or before 18-May 26 will be entitled to an early bird Discount of 10%.
Early Bird Fee (Residential) INR 103950/-(+ Applicable GST)
Early Bird Fee (Non-Residential) INR 89100/-(+ Applicable GST)
Group Discount
Group Discount of 5% percentage can be availed for a group of 3 or more participants when nominations received from the same organization.
Please Note
- All enrolments are subject to review and approval by the programme director. Joining Instructions will be sent to the selected candidates 10 days prior the start of the programme.
- The programme fee should be received by the Executive Education Office before the programme commencement date.
- In case of cancellations, the fee will be refunded only if a request is received at least 15 days prior to the start of the programme.
- If a nomination is not accepted,the fee will be refunded to the person/ organisation concerned.
- A certificate of participation will be awarded to the participants by IIMB.
Testimonials
Strategic Career Shift
“The Executive General Management Programme provided the strategic tools I needed to transition from a functional role to a leadership mindset. The campus immersions and peer networking were truly transformative.”
— Senior Manager, Operations
Practical Leadership Insights
“IIMB’s faculty brings incredible depth to complex business challenges. The Business Leadership Challenge allowed me to apply classroom theory directly to my organization’s growth strategy.”
— Director, Financial Services
Invaluable Professional Network
“A perfect blend of academic rigor and practical insight. Earning IIMB EEP Alumni Status has opened doors to a professional community that is second to none.”
— Tech Entrepreneur
Future-Ready Growth Mindset
“The focus on digital transformation and innovation helped me navigate industry disruptions with confidence. This program is essential for anyone looking to stay ahead in a fast-evolving global market.”
— Head of Digital Strategy
FAQs
Who are IIMB Executive Education programmes designed for?
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What is the typical time commitment and learning experience like?
What are the programme fees, and are instalment or financing options available?
What certificate will I receive on completion?
Sample Certificate
Certificate
After successful completion of this programme,
you will be awarded an IIMB Executive Education Certificate, formal recognition of your
professional development.
Related Programmes
Community and Network Access
Gain access to the Executive Alumni portal and LinkedIn group, fostering continued engagement within a distinguished professional community of global leaders.
Professional Recognition and Support
Receive official IIMB EEP Alumni credentials, including a dedicated email ID and ongoing support from the executive education team for your career journey.
Learning and Knowledge Resources
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Beyond the Classroom
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