Online Post Graduate Diploma in AI-ML for Managers
Features
Programme Overview
The Online Post Graduate Diploma in AI-ML for Managers from IIT Delhi is a rigorous 12-month, credit-bearing, two-semester diploma designed for professionals ready to lead India's AI transformation. Delivered by faculty from the Department of Electrical Engineering and the Department of Management Studies, under the aegis of the Bharti School of Telecommunication Technology and Management, the programme is offered in a live online format and equips learners with the frameworks, tools, and practical skills required to architect, evaluate, and manage AI-ML systems at scale.
Through IIT Delhi's academic depth and industry-aligned curriculum, you learn to turn business challenges into AI-powered solutions. The programme blends advanced coursework with hands-on projects to build true managerial fluency in AI. For ambitious professionals, it offers a high-ROI pathway to stay relevant, lead confidently, and create measurable impact.
₹ 5,08,474 + 18 % GST
Registration Closed
Affiliate Alumni Benefits
As a graduate of the Online Post Graduate Diploma in AI-ML for Managers, you receive IIT Delhi Affiliate Alumni Status, granting you select privileges that extend beyond the programme:
One-Time Affiliate Alumni Membership
A mandatory, non-refundable membership fee of ₹10,000 + taxes is payable at admission, separate from the programme fee.Dedicated IIT Delhi Affiliate Alumni Email ID
Receive an official alumni email (G-Suite) issued by the Alumni & Endowment Office, your long-term digital identity with IIT Delhi.Campus Access Privileges
With prior approval, Affiliate Alumni may visit the IIT Delhi campus and access designated facilities as permitted under the Institute's visitor policy.
Please Note:
The benefits of Affiliate Alumni will be provided upon graduating from the programme
Class Schedule
Classes are held on weekday evenings from 7:00 pm to 9:30 pm (Monday to Thursday as the primary schedule, with Friday as a secondary slot)
Eligibility Criteria
Graduates in any discipline with a minimum 50% marks or 5 CGPA. Basic knowledge of mathematics and programming is preferred.
Programme Highlights
Live Online Sessions With IIT Delhi Faculty
Learn From Real-world Cases And A Capstone Project
Get The Prestigious Online Post Graduate Diploma From IIT Delhi
Programme Support - 24 *7 Emeritus Support Team
Affiliate Alumni Status Of IIT Delhi
Offered By Bharti School Of Telecommunications Technology & Management
Programme Modules
Course 01-MSL848
Applied Operations Research (3 credits)
Applications of Decision Science (DS) and Operations Research (OR) in business
Use of OR in operations, supply chain, marketing, finance, and HR
Case-based learning approach for real-world problem solving
Data-driven decision-making techniques
Optimization methods for improved business outcomes
Course 02-MSL814
Data Visualization (1.5 credits)
Principles of human-computer interaction in data visualization
Visual encoding for effective data communication
Handling information overload using visual design
Techniques: heat maps, infographics, and dashboards
Multidimensional data visualization and graphical perception
Mapping, cartography, and text visualization
Visualization for improved comprehension and decision-making
Course 03-MSL868
Digital Research Methods (1.5 credits)
Internet as a research and data collection medium
Research design and sampling techniques
Online surveys and non-reactive data collection
Virtual ethnography and online focus groups
Blogs, videos, and secondary qualitative data sources
Data analysis approaches and research tools
Use of Generative AI for research and content creation
Prompt engineering for non-technical users.
Course 04-ELL784
Introduction to Machine Learning (3 credits)
Fundamentals of machine intelligence and learning
Linear learning models
Artificial Neural Networks (single-layer and multi-layer)
Backpropagation and learning variants
Support Vector Machines (classification and regression)
Learning theory and model complexity (VC dimension, PAC learning)
Unsupervised learning: PCA and KPCA
Clustering techniques
Feature selection methods
Introduction to semi-supervised learning
Course 05-MSL888
Data Warehousing for Business Decisions (1.5 credits)
Fundamentals of Database Management Systems (DBMS)
Hierarchical and multidimensional data modeling
Data warehouse design and ETL processes
SQL for data warehousing
OLAP and OLTP concepts
Data warehousing risks and management issues
Designing and expanding data warehouse applications.
Course 06 - ELL888
Advanced Machine Learning (3 credits)
Nonlinear dimensionality reduction techniques
Maximum entropy and exponential family models
Graphical models
Computational learning theory
Structured Support Vector Machines
Feature and kernel selection methods
Meta-learning and multi-task learning
Semi-supervised and reinforcement learning
Approximate inference methods
Clustering and boosting techniques
Course 07 - MSL722
Managing Enterprise AI/ML Systems (1.5 credits)
Overview of enterprise-level AI/ML systems
AI/ML use cases across enterprises
Managerial and operational challenges of AI/ML systems
Economic assessment of AI/ML projects
Effort estimation, pricing, and costing models
Responsible AI: fairness, ethics, transparency, accountability
Governance frameworks for AI/ML systems
Risks, unintended consequences, and policy interventions
Course 08 - MSV803
Selected Topics in Information Technology Management (1 credit)
Emerging research and practice in IT management
Contemporary and evolving technology topics
Industry-relevant and research-driven themes.
Course 09 - ELV781
Special Modules in Information Processing-I (1 credit)
Emerging topics in information processing
Advanced concepts and applications
Research-oriented and practice-focused modules
Course 10 - ELV832
Special Module in Machine Learning (1 credit)
Advanced and specialized topics in Machine Learning
Deep Learning concepts and applications
Current research and development challenges
Emerging trends in ML and AI
Course 11 - ELD850
Minor Capstone Project (3 credits)
Capstone Project in Artificial Intelligence and Machine Learning - Hands-on project undertaken in groups of 4 members where students learn to solve complex problems by using advanced machine learning algorithms on large complex datasets.
Disclaimer:
Online PG Diplomas are academic programmes of IIT Delhi, and there is no campus placement or placement assistance provided by IIT Delhi for these programmes.
Evaluation of minor projects is subject to faculty discretion, based on academic guidelines and instructional objectives.
Assessment criteria may vary depending on the nature of the project and its alignment with the course framework.
Note:
Modules/topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours. Case studies, real-world examples, and numerical illustrations are an integral part of multiple modules included in the course.
The primary mode of learning for this programme is via live online sessions with faculty members. Post-session video recordings will be made available for the duration of the programme.
Emeritus or the institute does not guarantee the availability of any session recordings.
Fundamentals of Python will be taught via recorded sessions. The faculty will be conducting Q/A on the same.
The sessions will be delivered by IIT Delhi faculty and industry experts, brought by the Programme Coordinator only.
Curriculum is subject to change and modification as per the requirements of the programme.
IIT Delhi and the Programme Coordinator's decision will be final.
Learning Outcomes
Build baseline coding readiness and understand no-code approaches to solving business data problems.
Use operations research, research methods, and visualisation to make data-driven decisions.
Design decision-support systems for enterprise use.
Develop, test, and deploy ML and advanced ML models for real business scenarios.
Understand and manage the architecture, lifecycle, and governance of enterprise AI/ML systems.
Lead AI projects end-to-end, from scoping to delivery, compliance, and monitoring.
Communicate AI solutions clearly to business, technical, and leadership teams.
Apply advanced concepts through specialised modules and a hands-on minor project that demonstrates practical capability.
Skills
As India accelerates its AI ambition, business managers are expected to lead with far deeper technological fluency. AI is now embedded across decisions, operations, and customer experience, creating a need for leaders who can guide this shift with confidence. For professionals who already understand business and technology, the natural next step is learning to architect and manage AI/ML systems at scale. And with skills evolving fast and talent gaps widening faster, becoming an AI-ready manager has become an urgent priority.
Tools
Python
Num Py
Matplotlib
Orange
Scikit-learn
Visual Quantum
Visual QKD
Programme Coordinator
Professor Arpan Kar
Professor
Department of Management Studies
Indian Institute of Technology Delhi
Arpan Kumar Kar (Ph.D.) is a Professor in Information Systems at the Indian Institute of Technology Delhi, India. Administratively, he chairs the Information Systems group and Corporate Affairs. He works in Artificial Intelligence and Digital Platforms. He has authored over 250 publications, and his research has been cited over 31,000 times, with an H index of over 70. He is the Editor of the Analytics Section in Applied Operations and Analytics (T&F). He is also Associate Editor for multiple ABDC A-ranked journals in Information Systems. In the past, he was also the Editor in Chief of IJIM Data Insights (2020-2024) and Associate/Guest Editor in other ABDC A* journals. In total, he has received over 20 awards from globally reputed organizations like IFIP, Clarivate, AIS, ACM, Birla Foundation, AIIMS, Elsevier, TCS, PMI, Ivey, HBSP, etc.
Professor Manav Bhatnagar
Professor
Department of Electrical Engineering
Indian Institute of Technology Delhi
Dr. Manav Bhatnagar is currently a Professor with the Department of Electrical Engineering, IIT Delhi, New Delhi, India, where he is also a Brigadier Bhopinder Singh Chair Professor. He holds a global rank of 517 in the area of Networking & Telecommunications among the top 2% scientists in a global list compiled by the prestigious Stanford University. He is a Fellow of INAE, NASI, AAIA, IET, IETE, and OSI. He has received the prestigious NASI-Scopus Young Scientist Award, Shri Om Prakash Bhasin Award, and Dr. Vikram Sarabhai Research Award. He has been an Editor of the IEEE Transactions on Wireless Communications from 2011 to 2014. Currently, he is an Editor of the IEEE Transactions on Communications. He has authored over 300 publications, of which 120+ are in IEEE journals, which have been cited over 8000 times.
Professor Surya Prakash Singh
Professor
Head of Department of Management Studies
Indian Institute of Technology Delhi
Prof. Surya Prakash Singh is a Dhananjaya Chair Professor and Head of the Department of Management Studies (DMS), Indian Institute of Technology Delhi (IITD), India.
He also served as Chairperson, Operations & Supply Chain group at DMS, IIT Delhi. He holds a Ph.D. from IIT Kanpur. He is also a postdoctoral fellow from the NUS-MIT alliance, Singapore. He is also a visiting professor/ fellow at China, Denmark, France, and the UK. Recently, he was awarded a fellowship by the Otto Monsted Foundation, Denmark, for his work. He works in the area of Operations & Supply Chain and published papers in leading international journals of repute with an h-index of 51 and a total citation of more than 10000. Prof. Singh also carried out projects and consultancies at domestic and international levels for private/ public entities. Prof. Singh also authored a textbook on Production & Operations Management published by Vikas Publishing House, New Delhi.
Programme Faculty
Professor P. Vigneswara Ilavarasan
Professor of Information Systems,
Department of Management Studies,
Indian Institute of Technology, Delhi
Specialist in the socio-technical impact of information and communication technologies (ICTs) on business and society, with research spanning ICT for development, social media business practices, and digital transformation. He is a Senior Research Fellow at LIRNEasia and a recipient of the Outstanding Young Faculty Fellowship and Prof. M.N. Srinivas Memorial Prize. Prof. Ilavarasan has served as a Visiting Research Fellow at the United Nations University (Macau), Curtin University, and University of Queensland, and has led major research projects funded by DST (India), ICSSR, IDRC (Canada), and the European Commission. He is among the world's top-cited scholars in information systems research and teaches courses on ICTs, digital transformation, social media, and business research methods
Professor Sumantra Dutta Roy
Professor
Department of Electrical Engineering
Indian Institute of Technology, Delhi
A leading expert in computer vision, pattern recognition and machine learning with deep work across biometrics, medical imaging and multimedia analytics. He is an IEEE Senior Member, Associate Editor of Pattern Recognition Letters and recipient of the INAE Young Engineer Award. Prof. Dutta Roy holds a B.E. in Computer Engineering from NSIT (formerly DIT), and both his M.Tech and Ph.D. from IIT Delhi, where his research focused on active 3-D object recognition and vision systems. He began his academic career at IIT Bombay before joining IIT Delhi and has been a professor there since 2018. He has also served as Associate Editor of Sadhana and delivered funded international lecture series, underscoring his global academic engagement.
Programme Sample Certificate
On successful completion of the programme, the participants will be awarded a Diploma in Online Post Graduate Diploma in AI-ML for Managers.
Note:
The above Online PG Diploma is for illustrative purposes only, and the format of the certificate may be changed at the discretion of IIT Delhi.
An Online PG Diploma will be issued separately by the Organising Department.
The Organising Department of this Online PG Diploma is Bharti School of Telecommunications Technology and Management
Installment Schedule
Programme Fees: ₹ 5,08,474 + 18 % GST
Component | Date | Amount (in ₹)* |
Application Fee* | To be paid at the time of Application | 2,000/- + GST |
1st Instalment | Immediate | 50,900/- + GST |
2nd Instalment | 18th July 2026 | 101,600/- + GST |
3rd Instalment | 9th August 2026 | 88,900/- + GST |
4th Instalment | 8th September 2026 | 88,900/- + GST |
5th Instalment | 8th October 2026 | 88,900/- + GST |
6th Instalment | 7th November 2026 | 89,274/- + GST |
Affiliate Alumni Membership Fee* | Within one week of the offer rollout | 10,000/- +GST |
Re-examination fee (per course, per attempt) ₹10,000/- + GST | ||
Note:
GST will be charged as applicable.
Affiliate Alumni Status: To secure Affiliate Alumni Status, learners must pay a one-time, non-refundable, mandatory Affiliate Alumni Membership Fee of ₹10,000 + applicable taxes at the time of admission, over and above the Programme Fee.
Benefits: Affiliate Alumni, with prior approval from the Alumni and Endowment Office, are allowed to visit the IIT Delhi campus as per the Institute's Visitors Policy.
An Affiliate Alumni Membership fee of ₹10,000 + GST applies.
Re-examination is charged at ₹10,000 + GST per course, per attempt.
Affidavit Requirements
Upon selection, learners must submit an affidavit on ₹100 stamp paper in the approved format on the CEP Portal. Learners must also share a scanned copy via email and submit the hard copy to the CEP Office.
Note:
The actual programme schedule will be announced closer to the programme start.
Postage charges for books and study materials (if provided) sent to locations outside of India will be paid for by the student.
The Application Fee and Affiliate Alumni Fee are not part of the Total Programme Fee.
All fees should be submitted to the IITD CEP account only. Details will be shared post-selection. Receipts will be issued by IIT Delhi CEP and can be downloaded from the CEP Portal.
Loan and EMI options are services offered by Emeritus. IIT Delhi is not responsible for the same.
Refund Policy
All fees paid are non-refundable and non-transferable.
Frequently asked questions
Yes. The programme is delivered through live, interactive online sessions led by IIT Delhi faculty. Classes are held on weekday evenings from 7:00 pm to 9:30 pm (Monday to Thursday as the primary schedule, with Friday as a secondary slot). In Semester 2, this also includes live lab sessions for hands-on learning. Recordings of live sessions will also be available.
All examinations and evaluations will be conducted by IIT Delhi's faculty members.
It is upon the faculty's discretion if any re-attempt would be allowed of the quiz or assignment, and the evaluation methodology.
LIVE masterclasses are done by seasoned Industry professionals who have real-world experience in the domain. The programme will be jointly taught by faculty members of the Department of Management Studies and Department of Electrical Engineering. Doubt-clearing sessions are carried out by the Programme leaders, as they monitor individual student progress.
We encourage our learners to complete the course to fully understand the concepts and derive valuable learning outcomes. All fees once paid are non-refundable and non-transferable.
On successful completion of the programme, the participants will be awarded an Online Postgraduate Diploma in Al-ML for Managers by IIT Delhi.
Content will be available for a total of 3 years (including 2 years after the programme's completion for participant reference).
Graduates receive IIT Delhi Affiliate Alumni Status, which includes an official alumni email ID and limited campus access privileges. A one-time, non-refundable fee of ₹10,000 + taxes is applicable.