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  • Course Duration :

    6 months

  • Course Fees :

    ₹ 1,30,000 + 18% GST

  • Schedule :

    Sundays, 9:30AM -12:30PM

  • Course Eligibility :

    Any Graduate

  • Campus Immersion :

    A two-day in-person session at IIT Delhi toward the end of the program

Executive Programme in Semiconductors, AI, and Deep-Tech Entrepreneurship

This programme focuses on how semiconductors power next-generation AI hardware, high-performance computing, and data centres, enabling faster computing and the ability to process and store ever-growing data volumes. Participants learn how advanced chips and photonic technologies are transforming compute, memory, and data movement to support large-scale AI workloads. Alongside technology fundamentals, the programme builds a clear understanding of how to create businesses and startups around AI-driven semiconductor and photonic innovations. By the end, learners are equipped to identify opportunities, evaluate technologies, and lead or build deep-tech ventures in the AI hardware ecosystem.

Learning Outcomes

Foundations of Semiconductors and Photonics:

Build a clear understanding of semiconductor and photonic principles, including band structures, carrier movement, MOSFET and FinFET fundamentals, light–matter interaction, and essential device technologies outlined in the curriculum.

Devices for AI and High-Performance Computing:

Explore advanced semiconductor technologies such as CMOS, SOI, and FinFET structures, along with emerging neuromorphic and memristor-based device concepts that support next-generation intelligent and high-speed electronic applications without referencing external computing hardware or frameworks not included in the curriculum.

Photonics in AI and Data-Centric Systems:

Understand the role of photonic components such as waveguides, resonators, optical modulators, and photodetectors along with optical interconnects and co-packaged optics in enabling high-speed communication and integrated photonic systems, fully aligned with the photonics module in the curriculum.

From Technology to Commercialization:

Learn how semiconductor and photonics innovations progress from research to real-world applications, covering Technology Readiness Levels (TRLs), prototyping considerations, IP strategy, licensing, and technology transfer pathways as defined in the entrepreneurship module.

Scaling Deep-Tech Ventures:

Gain insights into semiconductor and photonics commercialisation models, manufacturing partnerships, supply-chain elements, production scaling, cost optimisation, and go-to-market planning, reflecting the deep-tech entrepreneurship content provided in the curriculum.

Investor Communication and Fundraising:

Develop the ability to create effective pitch decks, communicate technical value, understand investor evaluation criteria for semiconductor/photonics ventures, and prepare for funding pathways including VC, grants, and corporate partnerships, consistent with the fundraising module.

Applied Learning through Case Studies & Pitching:

Apply technical and entrepreneurial concepts through case studies focused on semiconductor device innovation, photonic system applications, global ecosystem analysis, and guided pitching sessions aligned with the case studies specified in the curriculum, without referencing outdated AI-accelerator examples.

Programme Highlights


e-Certificate of successful completion from CEP, IIT Delhi: Earn a prestigious e-Certificate from IIT Delhi upon completing the programme.
Interdisciplinary Learning Approach: Explore the convergence of semiconductor device technologies, advanced device architectures, photonics, and deep-tech entrepreneurship through an integrated, interdisciplinary curriculum.
Expert Faculty from IIT Delhi: Learn from IIT Delhi faculty with expertise in semiconductors, photonics, emerging device concepts, and deep-tech innovation, bringing academic depth and industry-relevant perspectives to the programme.
Nationally Recognised Prestige: Delivered by IIT Delhi ranked 2nd in the Engineering category by NIRF 2024 this programme strengthens your professional profile in the fields of semiconductors, photonics, and deep-tech innovation.
Applied Learning through Case Studies & Pitching: Apply technical and entrepreneurial concepts through structured case discussions and pitching-focused sessions aligned to real-world deep-tech commercialization scenarios.
Entrepreneurship for Deep-Tech Innovation: Understand how semiconductor and photonics innovations move beyond the lab, with focused exposure to commercialization models, IP strategy, funding mechanisms, and startup scaling challenges.
Investor & Industry Interaction: Engage with investors, founders, and industry experts through guest lectures, panel discussions, and pitching-focused sessions.
Project-Based Learning Approach: Apply your learning through structured assignments and case-driven analysis that reinforce semiconductor and photonic concepts replacing earlier references to IoT, cloud platforms, and Edge AI, which are not included in the current curriculum.

Programme Objectives


Curriculum Structure


Semiconductor and Photonics Fundamentals for Deep-Tech

    Objective:

    Build a foundational understanding of semiconductor physics and photonics, focusing on the technologies that drive modern computing and communication.

  • Semiconductor physics fundamentals, Semiconductor diodes, BJTs, MOSFETs, and FinFETs, Current status and future perspectives of electronic integrated circuits.
  • Electronics versus photonics: Limitations and opportunities, Motivation for photonic integrated circuits (PICs), PIC components: waveguides, resonators, couplers, optical modulators, and photodetectors, Current status and future trends of PIC technologies
Advanced Semiconductor Electronic Devices for AI, HPC, and Data Centers

    Objective:

    Understand the key semiconductor electronic devices used in AI accelerators, data centers, and high-performance computing systems.

  • Advanced CMOS, SOI, and FinFET Technologies.
  • AI and Machine learning hardware: TPUs and GPUs.
  • Neuromorphic and Memristor-based Devices: Brain-inspired computing for AI.
Advanced Semiconductor Photonic Devices for AI, HPC, and Data Centers

    Objective:

    Focus on the real-world applications of semiconductor photonic devices and photonics in modern AI, data centers, and computing.

  • Data Center Infrastructure: Photonic interconnects, co-packaged optics, optical switching, energy- efficient hardware, and scalable architectures.
  • Hardware Accelerators for AI Workloads: Machine learning models, Photonic matrix processor, Different neural network architectures (CNN, RNN, DNN, etc.), Real word applications of neural network for signal processing and image processing.
Deep-Tech Entrepreneurship in Semiconductors & Photonics

    Objective:

    Bridge the gap between technical innovations and commercialization, with a focus on launching semiconductor or photonics-based startups. Learn how to transform your technical innovation into a market-ready product and scale it successfully.

  • From Lab to Market: Prototyping, manufacturing partnerships, and productization.
  • Overview of Deep-Tech Entrepreneurship: Ecosystem, challenges, and opportunities in hardware startups.
  • Technology Readiness Levels (TRL): Moving from basic research to product development.
  • Commercialization Models for Hardware: Fabless, semiconductor foundry partnerships, system-level integration.
  • Intellectual Property (IP) Strategy: Patents, licensing, and tech transfer in semiconductor and photonics.
  • Funding Deep-Tech Startups: Sources of funding (VC, government grants, angel investors, corporate R&D partnerships)
  • Scaling Semiconductor Startups: Production scaling, supply chain management, and cost optimization.
  • Go-to-Market Strategies: Market fit, pricing, distribution, and competitive differentiation.
  • Building and Leading Teams: Effective leadership and talent acquisition for deep-tech companies.
Case Studies & Industry Interactions

    Objective:

    Analyze real-world examples and engage with industry experts to understand how semiconductor innovations are commercialized.

    • Case Study 1: TPU and AI hardware development
    • Case Study 2: Photonic AI accelerators
    • Case Study 3: Optical interconnects for data centers
    • Case Study 4: Global semiconductor ecosystem
  • Guest Lectures and Panel Discussions: Startup founders, VCs, and industry experts
  • All case studies are based on publicly available information and independent academic analysis.
Pitching and Fundraising for Deep-Tech Startups

    Objective:

    Equip participants with the skills to pitch their ideas to investors, raise funds, and grow their deep-tech ventures.

  • Pitch Deck Creation: Building a compelling pitch for investors.
  • Investor Expectations: What VCs and angel investors look for in semiconductor/photonics startups
  • Funding Strategy: Choosing the right funding path for your startup (VC, angel investors, government grants).
  • Mock Pitch Sessions: Practice pitching ideas to mock investors for feedback.
Outcome & Certification
  • Certification from IIT Delhi
  • Key Competencies: Semiconductor device design, AI hardware architecture, photonics, commercialization strategies, and deep-tech entrepreneurship
  • Networking: Access to IIT Delhi’s incubators, investors, and industry networks

Evaluation & Practical Learning Components

Internal Assessments: Periodic quizzes, module-based assignments, case study analyses, and structured pitching or discussion exercises designed to reinforce concepts across semiconductor devices, photonics, emerging device architectures, and deep-tech commercialization throughout the programme.

Final Evaluation: A comprehensive end-term assessment comprising an MCQ-based examination, an oral viva, and an applied evaluation aligned to semiconductor technologies, photonic systems, and commercialization concepts, to assess both conceptual understanding and practical application.

Fee Structure


Particulars Amount (₹)
Programme Fees ₹ 1,30,000
GST @ 18% ₹ 23,400
Total Fees ₹ 1,53,400
Note:

All fees should be submitted in the IITD CEP account only, and the details will be shared post-selection.

The receipt will be issued by the IIT Delhi CEP account and can be downloaded from the CEP Portal for your records.

Easy EMI options available.

Loan and EMI Options are services offered by Teamlease Edtech. IIT Delhi is not responsible for the same.

Withdrawal & Refund From Programme

Candidates can withdraw within 15 days from the programme start date. A total of 80% of the total fee received will be refunded. However, the applicable tax amount paid will not be refunded on the paid amount.

Candidates withdrawing after 15 days from the start of the programme session will not be eligible for any refund.

Easy EMI options available.

Loan and EMI Options are services offered by TeamLease EdTech. IIT Delhi is not responsible for the same.

If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.ac.in and cepdelhi@digivarsity.com, stating your intent to withdraw. The refund, if applicable, will be processed within 30 working days from the date of receiving the withdrawal request.

Fee Schedule


Installment Installment Date Amount (₹)
I Due within 3 Days of offer letter. ₹ 65,000+GST
II 31st March, 2026 ₹ 65,000+GST
Total fees – ₹1,30,000 + GST (No Cost EMI available)

EMI Starting 5,476/month


EMI Starting 7,587 /month


Note:

  • Loan and EMI facility is offered by the Service Provider, TeamLease EdTech. IIT Delhi is not responsible for the same.

Programme Certificate

Certificate of Completion

Mba International Business

Certificate of Participation

Mba International Business
  • Candidates who secure a minimum of 50% in assessment marks and maintain at least 40% attendance will be awarded a ‘Certificate of Completion’.
  • Candidates who do not meet the completion criteria but maintain a minimum of 40% attendance will be awarded a ‘Certificate of Participation’.
  • The organizing department of this programme is the Optics & Photonics Center, IIT Delhi.

*Only e-Certificates will be issued by CEP, IIT Delhi for this programme.

Programme Coordinator

 Prof. Deepak Jain
Associate Professor
OPTICS AND PHOTONICS CENTRE, INDIAN INSTITUTE OF TECHNOLOGY DELHI, NEW DELHI.

Deepak Jain is an Associate Professor at the Optics & Photonics Center, IIT Delhi, and a deep-tech entrepreneur. He previously served as faculty in the Electrical Engineering Department at IIT Bombay and held prestigious research fellowships at the University of Sydney and the Technical University of Denmark. He earned his Ph.D. from the Optoelectronics Research Centre, University of Southampton, UK. Prof. Jain’s work lies at the intersection of semiconductors, photonics, artificial intelligence, and scalable deep-tech systems. His contributions span semiconductor diode lasers and beam-shaping fibers, high-power and specialty fiber lasers, hollow-core optical fibers, and photonic matrix processors for AI acceleration. He is leading India’s first national Department of Telecommunications (DoT)–supported project on hollow-core fibers for next-generation data centers and quantum Communication. He has taught advanced courses on Semiconductor Devices & Circuits, Semiconductor Special Devices (Optoelectronics), Integrated Photonics,and Photonics Matrix Processors for AI. He has authored over 60 publications, holds more than 10 patents, raised over ₹15 crore for research at IIT Delhi, and over ₹30 crore for startup initiatives. Prof. Jain is the founder of Deeplase Technologies, focused on lasers, hollow-core fibers, and photonic AI hardware. A TEDx speaker, and Senior Member of Optica and IEEE, his executive teaching emphasizes how deep-tech innovations are built, funded, and scaled from lab to market.

Programme Faculty

Prof. Mihai Sanduleanu
Associate Professor
Electrical Engineering, Khalifa University, UAE

Received his MSc, MEE and PhD degrees from the Technical University of Iasi, Romania, Eindhoven University of Technology, The Netherlands and University of Twente, The Netherlands in 1990, 1993 and 1999, respectively. From 1999 to 2000, he was with Philips Semiconductors, Nijmegen, The Netherlands, working on
fiber optic communication circuits. From 2000 to 2007 he joined Philips Research Eindhoven, The Netherlands and he was involved in Fiber Optic Interface circuits, RF IC Design, mm-Waves Transceiver design and Ultra-low-power radios. From 2008 to 2013, he conducted research at IBM T.J. Watson Research Center, Yorktown Heights, New York in mm-Waves transceivers for communication, imaging and RADAR, THz electronics. He is currently Associate Professor at Khalifa University of Science and Technology. Dr. Sanduleanu’s area of expertise include Wireless transceiver design for RF/mm-Waves/THz communication, High Speed Communication Circuits for serial I/O, High speed analog-to-digital converters, Phased-Array Systems, High-speed digital circuits and systems. Dr. Sanduleanu authored/co-authored 9 books and more than 140 papers in International Conferences and Journals. He holds 54 US patents. Dr. Sanduleanu served as Associate Editor for IEEE Transactions on Circuits and Systems in 2011-2012 and he is Associate Editor for Springer Nature “Analog Integrated Circuits and Signal Processing”
Prof. A. Aadhi
Assistant Professor
OPTICS AND PHOTONICS CENTRE (OPC), INDIAN INSTITUTE OF TECHNOLOGY DELHI, NEW DELHI.

Prof. A. Aadhi is currently an Assistant Professor at the Optics and Photonics Centre, Indian Institute of Technology Delhi. His research expertise includes photonic computing, neuromorphic photonic processors, integrated photonics, nonlinear optics, and the
generation of structured light beams. He earned his PhD in 2016 from IIT Gandhinagar and the Physical Research Laboratory. He is also currently a visiting scientist at Queen’s University, Canada. From 2017 to 2025, he was a postdoctoral researcher at several leading institutes, including the Institut National de la Recherche Scientifique (INRS), Canada; Queen’s University, Canada; and the Singapore University of Technology and Design (SUTD), Singapore. He has published more than 50 research articles in high-impact journals such as Nature, Nature Communications, Optica, Advanced Science, Laser & Photonics Reviews, and Optics Letters, as well as more than 50 conference proceedings. Prof. Aadhi holds six international patents and several Editor’s Pick articles in leading journals. He has received several national and international awards, fellowships, and has delivered numerous invited talks at major international optics and photonics conferences, including CLEO, SPIE, IEEE, Europhotonics, and Photonics North.

Frequently Asked Questions(FAQ's)

The Executive Programme in Semiconductors, AI, and Deep-Tech Entrepreneurship is a structured executive education programme designed to provide professionals with an integrated understanding of semiconductor technologies, advanced device architectures, and deep-tech venture creation. The programme covers semiconductor fundamentals, emerging electronic and photonic device concepts, and the entrepreneurial frameworks required to translate deep-tech innovations into scalable ventures, delivered through live online sessions and applied learning.

Unlike standalone semiconductor or technology-specific courses, this executive programme adopts a cross-disciplinary approach, combining semiconductor technologies, photonic systems, and deep-tech entrepreneurship within a single curriculum. It enables participants to understand not only how advanced technologies are developed, but also how they can be commercialised, scaled, and positioned within the deep-tech ecosystem, under academic guidance from IIT Delhi.

This programme is suitable for working professionals, engineers, technologists, researchers, startup founders, and aspiring entrepreneurs who are interested in semiconductors, photonics, and deep-tech innovation. It is particularly relevant for individuals involved in electronics, device engineering, product development, R&D, technology strategy, or those looking to build or scale deep-tech ventures.

Prior hands-on experience in semiconductors or photonics is not mandatory. However, a basic background in engineering, technology, or applied sciences is beneficial. The programme introduces core concepts in a structured manner, making it suitable for professionals transitioning into semiconductor and photonic device domains or seeking to broaden their existing technical and entrepreneurial skill set.

The programme includes a two-day on-campus immersion at IIT Delhi, offering participants the opportunity to engage directly with faculty and peers. However, travel, accommodation, and other related expenses are not included in the programme fee and are to be borne by the participants.

Yes. The programme encourages interaction through live online sessions, discussions, and applied learning activities, allowing participants to engage with IIT Delhi faculty and peers. Additionally, the on-campus immersion provides valuable face-to-face interaction, fostering peer learning, collaboration, and professional networking within the semiconductor and deep-tech ecosystem.