IIT Delhi Executive Prog in GenAI & Digital Engineering
The IIT Delhi Executive Programme in Generative AI and NextGen Digital Engineering is a comprehensive 6-month online programme designed for senior professionals in engineering, technology, and manufacturing. It equips participants with a strong foundation in AI, machine learning, and generative AI, specifically applied to engineering design, digital manufacturing, and Industry 4.0 transformation. The curriculum spans six modules covering AI/ML basics, digital engineering, design methods, generative AI in design, digital manufacturing, and Industry 4.0 integration, culminating in a hands-on Capstone Project. Delivered via live online sessions direct-to-device with an optional campus immersion at IIT Delhi, the programme offers over 150 hours of total learning including live lectures, self-paced content, and project work. Participants will gain expertise in simulation tools, generative design techniques, and human-centric design approaches, preparing them for specialist roles such as Digital Engineering Lead, AI-driven Product Design Engineer, and Industry 4.0 Consultant.
Instructors:
Prof. Dinesh Kalyanasundaram
Prof. Kusum Meena
English
Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
6 Months
₹ 1,69,000
Overview
The IIT Delhi Executive Programme in Generative AI and NextGen Digital Engineering is a 6-month online programme offered by the Centre for Excellence in Production (CEP), IIT Delhi. Designed for working professionals in engineering and technology, it provides a structured learning pathway spanning foundational AI and ML concepts, digital engineering principles, advanced generative design methods, digital manufacturing, and Industry 4.0 integration. The programme is delivered via live online weekend sessions in a direct-to-device format, supported by self-paced learning and a capstone project. An optional two-day campus immersion at IIT Delhi complements the online experience, enabling direct interaction with faculty. With over 150 hours of total learning content, participants are equipped with both theoretical understanding and practical skills to apply AI-driven approaches in engineering contexts. Upon completion, successful candidates receive an e-certificate from CEP, IIT Delhi.
Why Technology & Analytics?
This programme stands out for its focused application of generative AI and machine learning to real-world engineering challenges, a niche that combines technical depth with strategic relevance. Delivered by IIT Delhi, one of India's most prestigious technical institutions, it offers the credibility of an IIT-certified programme in a format designed for working professionals. The curriculum is structured to move learners from foundational AI concepts to advanced simulation-based design and digital manufacturing, making it practical and immediately applicable. The inclusion of a hands-on Capstone Project ensures participants build a tangible portfolio piece demonstrating their ability to solve complex industry problems using AI. The optional campus immersion adds a premium, in-person dimension to an otherwise flexible online programme. Career support services provided by TimesPro further enhance the value proposition by assisting participants with personal branding, resume building, LinkedIn presence, and interview preparation. The programme is ideal for engineers and technology leaders seeking to future-proof their expertise in an era of rapid digital transformation.
What does this course have to offer?
Key Highlights
6-month online executive programme by IIT Delhi CEP 150+ total learning hours including live sessions, self-paced content, and capstone 60 hours of live online weekend sessions delivered direct-to-device Optional 2-day campus immersion at IIT Delhi Hands-on Capstone Project on real-world AI-driven engineering problems Covers Generative AI, ML, Digital Engineering, Simulation, and Industry 4.0 Career support including resume review, LinkedIn coaching, and interview preparation E-certificate issued by CEP, IIT Delhi on successful completion Flexible instalment payment schedule available Ideal for engineers, designers, product managers, and technology leaders
Interested in career outcomes and specializations?
Who is this programme for?
Engineers and designers looking to adopt AI-driven approaches in product design and development Product managers seeking to leverage generative AI for innovative manufacturing R&D professionals exploring AI and digital engineering in research contexts Technology leaders aiming to drive Industry 4.0 digital transformation Professionals from Mechanical, Electrical, Civil, Aerospace, and Computer Science engineering backgrounds Senior managers interested in digital manufacturing and intelligent design
Minimum Eligibility
Bachelor's Degree with 50% or more marks Selection based on application review Professionals from engineering or technology backgrounds preferred No minimum work experience specified
Not sure whether you qualify for this programme?
Who is the programme for?
Admission to the IIT Delhi Executive Programme in Generative AI and NextGen Digital Engineering requires a Bachelor's degree with a minimum of 50% marks. Selection is based on an application review process, with no minimum work experience mandated. Shortlisted candidates may be required to appear for an interview as part of the evaluation. An application fee of Rs 1,000 is charged for processing selected applications post confirmation from the institute; this fee is not part of the total programme fee. An offer letter from CEP, IIT Delhi is released upon successful receipt of the registration fee. The programme follows an MCQ-based end-of-programme exam (60%), assignments and project work (30%), and attendance (10%). Candidates must secure a minimum of 50% overall and maintain at least 50% attendance to receive the Certificate of Completion. Those scoring below 50% but meeting the attendance requirement receive a Certificate of Participation.
Selection process
How to apply?
Curriculum
The programme curriculum is structured across six core modules designed to build expertise from foundational AI and ML concepts to advanced generative design and Industry 4.0 integration. The first module introduces machine learning paradigms including supervised, unsupervised, reinforcement, and deep learning, alongside basics of Design for Manufacturability and an introduction to generative AI in design. The second module covers digital engineering fundamentals, process lifecycle optimisation, and key software tools. The third module addresses design methods including design thinking, AI-enhanced UX, human-centric design, nature-inspired design, and biologically inspired structures. The fourth module dives into generative AI applications in design, covering structural, flow, and thermal simulations alongside AI-optimised design workflows. The fifth module explores conventional and unconventional manufacturing processes, post-processing, characterisation, and testing. The sixth and final module examines Industry 4.0 principles and AI applications across sectors including healthcare, aerospace, automotive, energy, and industrial automation. The programme concludes with a Capstone Project.
There are 6 semesters in this course
Module 1 introduces the fundamentals of machine learning covering supervised, unsupervised, reinforcement learning, and deep learning, along with basics of DFM/DFX and an introduction to generative AI in design. Module 2 builds a foundation in digital engineering, covering process lifecycle optimisation and software tools commonly used in product development. Module 3 explores design methods from multiple perspectives including design thinking, AI-enhanced user experience, human-centric design, nature-inspired design, and cellular or biologically inspired structures with functional applications. Module 4 applies generative AI to engineering design through structural simulation, flow and thermal simulation, and AI-optimised design workflows, supplemented with industry case studies. Module 5 addresses digital manufacturing and post-processing, covering both conventional and unconventional manufacturing methods along with characterisation and testing procedures. Module 6 explores Industry 4.0 and its intersection with AI, examining applications across industrial automation, healthcare, automobile, aerospace, and energy sectors. The programme concludes with a Capstone Project where participants work on industry-relevant problems, integrating their learning into a tangible portfolio piece.
Module 1: Basics of AI/ML, and Generative AI for Design
Module 2: Basics of Digital Engineering
Module 3: Design Methods
Module 4: Generative AI in Design
Module 5: Digital Manufacturing and Post Processing Methods
Module 6: Integration of AI and Industry 4.0
Programme Length
6 months. Weekend live sessions are scheduled for working professionals, with self-paced content accessible throughout the duration.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Prof. Dinesh Kalyanasundaram
Assistant Professor, Department of Mechanical Engineering, Indian Institute of Technology Delhi
Prof. Dinesh Kalyanasundaram is a mechanical engineer by education (Bachelors: College of Engineering, Guindy; Masters: IIT Delhi; Ph.D.: Iowa State University; Post-doctoral research: University of Washington, Seattle; Biomedical consultant: L&T). His areas of interest include MedTech product design and manufacturing. Prof. Kalyanasundaram is the principal investigator of mPRAGATI, an ICMR-funded National facility for medical device translation. His research group is focused on designing medical devices, validating their performance clinically and developing associated manufacturing processes. It develops both diagnostic devices as well as implantable devices. The group also works on tissue biomechanics and developing musculoskeletal models. The major research in the group includes developing devices for manufacturing processes for MedTech products. In biomedical engineering, Prof. Kalyanasundaram works on both implantable as well as non-implantable medical devices like orthopaedic implants (Hip Replacement System, Knee Replacement System, Shoulder Replacement System, Spinal implants, Ocular implants, etc.), vascular implants (catheters, cardiovascular stents, neurovascular stents, tubing, etc.), a Hearing screening device, LAMP assay for pathogen diagnosis, Cervical cancer diagnosis, etc. These products have been developed in association with various institutes of immense prestige, like the All India Institute of Medical Sciences (AIIMS) Delhi, CSIR-CSIO Chandigarh, KGMU (King George Medical University) Lucknow, MAMC (Maulana Azad Medical College) Delhi, etc.
Prof. Kusum Meena
Assistant Professor, Department of Mechanical Engineering, Indian Institute of Technology Delhi
Dr. Kusum Meena is an Assistant Professor in the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) Delhi, having joined the institute in June 2020. Her academic journey began with a bachelor’s degree in mechanical engineering from the University College of Engineering, Kota, followed by Master's in Manufacturing Science and Technology from IIT Kharagpur. She earned her Ph.D. from Auckland University of Technology, New Zealand, where her research focused on the development of auxetic structures using additive manufacturing technologies. Dr. Meena's research interests encompass additive manufacturing, auxetic metamaterials, and laser material processing. She is particularly noted for her work on designing auxetic structures—materials that exhibit a negative Poisson's ratio—leveraging 3D printing techniques to create complex geometries suitable for applications in defense, healthcare, automotive, and aerospace industries. Her contributions to the field are documented in several peer-reviewed journals, including Materials & Design and the International Journal of Mechanics and Materials in Design. Beyond her research, Dr. Meena is actively involved in teaching courses related to additive manufacturing and near-net shape manufacturing at IIT Delhi. She is also exploring collaborations with defense agencies to develop advanced safety gear, such as crash helmets and bulletproof jackets, utilizing her innovative auxetic designs.
Tuition Fee
The total programme fee is Rs 1,69,000 (exclusive of GST). Fees are payable in four instalments: the first instalment of Rs 43,000 is due within 4 days of offer letter issue, followed by three instalments of Rs 42,000 each. All fees must be submitted to the IIT Delhi CEP account, and receipts are issued by the IIT Delhi CEP office. Easy EMI options are available through TimesPro. Candidates who wish to withdraw may do so within 15 days of the programme start date and are eligible for an 80% refund of fees paid, excluding applicable taxes. No refund is available for withdrawals after 15 days of commencement.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
The programme delivers over 150 hours of structured learning through multiple formats. Live online sessions totalling 60 hours are conducted on weekends and delivered direct-to-device, enabling professionals to attend from anywhere without disrupting their work schedules. Self-paced learning content of 60 hours supplements the live sessions, allowing participants to revisit concepts and study at their own pace. A 20-hour Capstone Project provides applied, hands-on experience working on real-world AI-driven engineering challenges. An optional 2-day campus immersion at IIT Delhi enables face-to-face interaction with faculty and fellow participants. Assessment combines an end-of-programme MCQ exam, assignments, project submissions, and attendance, ensuring comprehensive evaluation of learning outcomes.
University Experience
IIT Delhi is one of India's premier technical institutions, consistently ranked among the top engineering universities in the country. The programme is offered through the Centre for Excellence in Production (CEP) at IIT Delhi, which specialises in continuing education and executive programmes for working professionals. Participants benefit from access to IIT Delhi's academic rigour, faculty expertise in AI, engineering design, and advanced manufacturing, and the institutional credibility of an IIT-certified programme. The optional campus immersion provides a direct experience of the IIT Delhi environment, fostering networking and faculty interaction. E-certificates are issued by CEP, IIT Delhi upon successful completion, carrying the weight of IIT Delhi's academic brand.
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About the University
Established in 1961, IIT Delhi is one of the premier engineering institutes in India and is recognized globally for its academic excellence and research contributions. Located in Hauz Khas, New Delhi, the institute offers undergraduate, postgraduate, and doctoral programs across various engineering and technology disciplines. IIT Delhi is known for its rigorous curriculum, state-of-the-art facilities, and strong industry connections.
8000
Total Students
600
Faculty Members
2
NIRF Overall Rank
Affiliation & Recognition
Ministry of Education, Government of India
Association of Indian Universities
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National Board of Accreditation
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Prof. Dinesh Kalyanasundaram
Assistant Professor, Department of Mechanical Engineering, Indian Institute of Technology Delhi
Prof. Dinesh Kalyanasundaram is a mechanical engineer by education (Bachelors: College of Engineering, Guindy; Masters: IIT Delhi; Ph.D.: Iowa State University; Post-doctoral research: University of Washington, Seattle; Biomedical consultant: L&T). His areas of interest include MedTech product design and manufacturing. Prof. Kalyanasundaram is the principal investigator of mPRAGATI, an ICMR-funded National facility for medical device translation. His research group is focused on designing medical devices, validating their performance clinically and developing associated manufacturing processes. It develops both diagnostic devices as well as implantable devices. The group also works on tissue biomechanics and developing musculoskeletal models. The major research in the group includes developing devices for manufacturing processes for MedTech products. In biomedical engineering, Prof. Kalyanasundaram works on both implantable as well as non-implantable medical devices like orthopaedic implants (Hip Replacement System, Knee Replacement System, Shoulder Replacement System, Spinal implants, Ocular implants, etc.), vascular implants (catheters, cardiovascular stents, neurovascular stents, tubing, etc.), a Hearing screening device, LAMP assay for pathogen diagnosis, Cervical cancer diagnosis, etc. These products have been developed in association with various institutes of immense prestige, like the All India Institute of Medical Sciences (AIIMS) Delhi, CSIR-CSIO Chandigarh, KGMU (King George Medical University) Lucknow, MAMC (Maulana Azad Medical College) Delhi, etc.
Prof. Kusum Meena
Assistant Professor, Department of Mechanical Engineering, Indian Institute of Technology Delhi
Dr. Kusum Meena is an Assistant Professor in the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) Delhi, having joined the institute in June 2020. Her academic journey began with a bachelor’s degree in mechanical engineering from the University College of Engineering, Kota, followed by Master's in Manufacturing Science and Technology from IIT Kharagpur. She earned her Ph.D. from Auckland University of Technology, New Zealand, where her research focused on the development of auxetic structures using additive manufacturing technologies. Dr. Meena's research interests encompass additive manufacturing, auxetic metamaterials, and laser material processing. She is particularly noted for her work on designing auxetic structures—materials that exhibit a negative Poisson's ratio—leveraging 3D printing techniques to create complex geometries suitable for applications in defense, healthcare, automotive, and aerospace industries. Her contributions to the field are documented in several peer-reviewed journals, including Materials & Design and the International Journal of Mechanics and Materials in Design. Beyond her research, Dr. Meena is actively involved in teaching courses related to additive manufacturing and near-net shape manufacturing at IIT Delhi. She is also exploring collaborations with defense agencies to develop advanced safety gear, such as crash helmets and bulletproof jackets, utilizing her innovative auxetic designs.
Career services
The Career Development Services at IIT Delhi offer comprehensive support for placements through organized recruitment drives, workshops, and industry interactions. The placement process includes pre-placement talks, interviews, and extensive career guidance. In the latest placement season, IIT Delhi achieved a 100% placement rate with participation from numerous leading companies across various sectors.
100%
Placement Rate
20.5 LPA
Average Package
1.2 Crore
Highest Package
Course Start Date:
Starting Soon
Application Deadline:
Closing Soon
Duration:
6 Months
₹ 1,69,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.