Programme Overview

Artificial Intelligence (AI) has evolved significantly over the past few decades, with recent advances in machine learning, foundational models, and cloud computing unlocking new business opportunities. In today’s rapidly changing business landscape, AI is no longer a futuristic concept but a present-day necessity for managers seeking to drive efficiency, foster innovation, and create competitive advantage. AI enables faster and more informed decision-making, allowing leaders to anticipate market trends, bolster efficiency, and enhance customer experiences. AI, encompassing technologies such as machine learning, deep learning, generative models, and robotics, empowers businesses by recognizing patterns, generating insights, and automating critical processes, making it essential for modern managerial success.

AI applications are revolutionizing every sector, from healthcare and finance to manufacturing, HR, retail, logistics, and beyond. The AIM program equips leaders with the knowledge and tools to harness AI’s potential while addressing concerns such as the black-box nature of AI through Explainable AI techniques, ensuring responsible and effective implementation. This program focuses on real-world AI applications, as the key to excellence.

Join this programme and learn to enhance decision-making, automate processes, build capabilities, and strategically plan the AI roadmap for your organization, both, responsibly and ethically.


Programme Objective
  • Understand AI’s foundational concepts, historical evolution, and practical business applications.
  • Master the essentials of machine learning, neural networks, and deep learning.
  • Develop practical AI applications tailored to solve business challenges.
  • Understand data preparedness for AI applications through pipelines and information architecture
  • Implement ethical AI practices, ensuring fairness, transparency, and accountability.

Key Topics
  • Data pipelines, feature stores, data quality & drift
  • Model evaluation, monitoring, and failure modes (incl. GenAI hallucinations)
  • Deployment patterns & MLOps basics (CI/CD, monitoring, governance gates)
  • Cost/latency/security trade-offs (cloud, on-prem, vendor APIs)
  • LLMs and Transformers
  • Prompting + RAG + guardrails (practical GenAI patterns)
  • Live Capstone Project

Programme Directors
Professor Vimal Kumar M

Professor Vimal Kumar M

Management Information Systems

Professor Rahul Kumar

Professor Rahul Kumar

Management Information Systems


Who May Attend
  • AI enthusiasts
  • Functional Heads across Industries
  • Technology and Business Leaders

(No coding required, but comfort with data and analytical orientation is helpful.)


Programme Duration and Delivery
  • From the morning of February 11, 2027 till the afternoon of February 13, 2027
  • Face to face - classroom based

Pedagogy
  • Expert Lectures
  • Case studies and real-world applications
  • Hands-on Demonstration and In-class Exercises
  • Group discussions and experiential learning

How to Apply
  • You can apply/nominate your personnel by clicking on the “Apply Now” link corresponding to the particular MDP, as appearing on our online calendar available at: https://iimcal.ac.in/mdp/mdp-calendar
  • Once the candidature(s) is (are) approved, the sponsoring authority or participant (in case of self-nomination) will be intimated over email along with a Proforma Invoice seeking programme fees in advance.
  • Programme fees can be remitted online through Electronic Fund Transfer (NEFT/RTGS).
  • Upon remitting the fees online, kindly intimate Executive Education Office with the UTRNo. /relevant transaction details through email, so that we can connect your remittance to your nomination(s). Please note that confirmation of participation is subject to receipt of Programme fees by CMDP Office before commencement of the MDP.

For further assistance, please connect with:

Name: Ms. Payel Majumder
Number: +91 33 7121 6012
Email ID: program_mdp[at]iimcal[dot]ac[dot]in

Apply Now

To apply please click on Apply Now

For further queries, please write to program_mdp[at]iimcal[dot]ac[dot]in