Certificate Programme for Future Tech Leaders AI & Industry 5.0
Features
Programme Overview
Step into the future with IIT Delhi Future Tech Leaders – AI & Industry 5.0 a 6-month journey designed to build tomorrow’s tech-savvy leaders. This cutting-edge course blends AI, IoT, Blockchain, 6G, AR/VR, and Digital Twins with strategic leadership, ethical innovation, and real-world applications. Through live sessions, hands-on labs, and an industry-aligned capstone project, you’ll learn how to lead digital transformation and drive sustainable innovation across industries. Top it off with an optional 3-day campus immersion at IIT Delhi featuring workshops, peer networking, and live demos — and you’ve got a programme that’s as future-ready as you are.
₹ 1,69,000 + 18 % GST
Registration Closed
Class Schedule
Class Timings: Every Saturday and Sunday: 09:00 AM to 11:00 AM
Eligibility Criteria
Bachelor's in Engineering/Technology(any discipline) with 2 years of work experience.
Programme Highlights
IIT Delhi Faculty-Led Learning
Integrated Tech + Leadership Focus
Capstone Project & Strategic Roadmap
Campus Immersion + Industry Interaction
Programme Modules
Sub Modules
Evolution of Technology: From Industrial Revolutions to Future Tech
AI as a Core Driver of Future Technologies
Leadership in the Age of Digital Transformation
Role of Emerging Technologies (IoT, Big Data, Blockchain, 6G
Strategic Overview of Tech Leadership Trends
Learning Outcomes
Understand the fundamental concepts of Artificial Intelligence and its role in digital transformation across industries.
Gain insights into how AI drives efficiency, innovation, and competitive advantage in Industry 5.0 environments.
Sub Modules
AI Fundamentals: Algorithms, Models, and Applications
AI in Business Strategy and Decision-Making
Machine Learning and Deep Learning for Leaders
Generative AI and ChatGPT for Enterprise Innovation
Leadership in the era of Industry 5.0: Augmenting human potential
Case Studies: AI-Driven Business Transformations
Learning Outcomes
Learn how to collect, analyze, and interpret data to inform high-impact business decisions.
Develop skills in working with large datasets and using AI models for predictive and prescriptive analytics.
Sub Modules
Internet of Things (IoT) and Edge Computing
Big Data Analytics and Predictive Insights
Blockchain for Transparency and Trust
6G Connectivity and Ultra-Low Latency Applications
Learning Outcomes
Understand the foundational principles and applications of emerging technologies like IoT, Big Data, Blockchain, and 6G in business ecosystems.
Learn to integrate these technologies to enhance operational workflows and enable intelligent decision-making.
Sub Modules
Design Thinking for Leaders: Driving Innovation
Human-Machine Collaboration and HMI
Ethical AI and Leadership Challenges
Digital Twins, AR, and VR in Innovation
Building Cross-Functional Collaborative Teams
Learning Outcomes
Develop innovation-driven leadership skills through design thinking, digital twin integration, and human-centric approaches.
Learn to foster cross-functional collaboration and manage human-machine interactions in the innovation process.
Sub Modules
AI in Automation and Operational Excellence
AI-Driven Supply Chain Management
Tech-Driven Workforce Transformation
Applications of IoT and AI in Healthcare, Retail, and Finance
Business Model Innovation with Emerging Technologies
Learning Outcomes
Apply AI and automation tools for improving operational efficiency across verticals like supply chain, healthcare, and retail.
Explore emerging technology use-cases in real-world business models to drive transformation and innovation
Sub Modules
Cybersecurity Leadership in AI-Powered Systems
Addressing Privacy and Ethical Dilemmas in AI
Risk Management and Compliance in Future Tech Application
Learning Outcomes
Understand cybersecurity risks, ethical challenges, and compliance frameworks associated with AI and future tech.
Build leadership skills for responsible tech governance and decision-making in high-stakes environments.
Sub Modules
Creating a Leadership Roadmap for Future Technologies
The role of AI in driving personalization
Understanding sustainability in the digital age
Panel Discussion with Industry Experts
Capstone Project Guidance and Presentations
Learning Outcomes
Apply knowledge from across modules to develop a future-tech leadership roadmap aligned with innovation and sustainability goals.
Deliver a capstone project showcasing strategic thinking, technology application, and industry alignment.
Lab Session 1: Introduction to Python for Data Science
Data Exploration & Visualization Techniques
Building Simple ML Models
Labs Session 2: Building an IoT System with Sensors and Microcontrollers
Real-Time Data Collection on Edge Devices
IoT Platform Hands-On
Lab Session 3: Developing a Basic Digital Twin Model
Predictive Maintenance Simulation
Data Visualization from Digital Twins
Lab Session 4: Setting up Big Data Pipelines
Real-Time Analytics with Spark
Cybersecurity for IIoT
Lab Session 5: Using AR/VR for Virtual Plant Tours
Developing HMI Screens and Touchpoints
Successful Industry 4.0 Implementations and Lessons Learned
Learning Outcomes
Build Strong Foundations in AI and Future Technologies: Gain a comprehensive understanding of Artificial Intelligence, its evolution, and how it integrates with core technologies such as IoT, Big Data, Blockchain, and 6G to power Industry 5.0 transformations.
Develop Strategic Tech Leadership Capabilities: Learn how to lead digital transformation initiatives by aligning AI with business strategy, fostering innovation, and driving decision-making in technology-led organizations.
Master Human-Centric and Ethical Innovation: Apply design thinking frameworks, ethical leadership principles, and collaborative approaches to manage human-machine interactions and develop scalable, responsible tech solutions.
Implement Future Tech in Real-World Scenarios: Understand how to apply AI and emerging technologies in domains like supply chain, healthcare, finance, and retail to optimize processes and drive operational excellence.
Deliver Capstone Projects with Strategic Impact: Synthesize cross-module learnings into a leadership roadmap and capstone project that showcases innovation, sustainability, and enterprise-ready problem solving, supported by expert faculty and industry leaders
Tools
Power BI
Scikit-learn
Tableau
Programme Coordinator
Professor Sunil Jha
Professor
Department of Mechanical Engineering
Indian Institute of Technology Delhi
Prof. Sunil Jha is a distinguished professor in the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) Delhi, where he has been a faculty member since 2007. With a career spanning over two decades in both academia and industry, Prof. Jha specializes in advanced manufacturing and automation technologies, including cutting-edge areas such as advanced machining and finishing processes, micro- and nano finishing, and robotics.
Prof. Jha's academic journey began with a Ph.D. from IIT Kanpur, which laid the foundation for his research in manufacturing and mechatronics. Over the years, he has progressed from Assistant Professor (2007-2013) to Associate Professor (2013-2018), and now holds the position of Professor since 2018. Prior to his academic career, he gained valuable industrial experience as a Senior Engineer with Tata Motors, where he worked from 1998 to 2000.
Prof. Jha’s research interests include advanced and micro-nano finishing techniques, the application of smart fluids like magnetorheological (MR) fluids, and automation in manufacturing. His significant contributions to magnetorheological finishing are reflected in his widely cited publications, including studies on nano-finishing of materials like polycarbonate and silicon. Notable works include his papers on MR polishing fluid and its applications in high-precision finishing processes, published in prestigious journals such as the International Journal of Precision Technology and Materials and Manufacturing Processes
Programme Sample Certificate
Candidates who successfully complete the programme and meet the attendance requirements will receive a “Certificate of Completion” from the Continuing Education Programme (CEP), IIT Delhi.
Other than the above, rest all the candidates will receive a ‘Certificate of Participation’ from CEP, IIT Delhi.
The organising department for this programme is the Department of Mechanical Engineering.
Only e-Certificates will be issued by CEP, IIT Delhi, for this programme.
Installment Schedule
Programme Fee: 1,69,000 + 18% GST
Instalment | Instalment Date | Amount (in ₹) |
Application Fee* | At the time of application | ₹1,000 |
1st Instalment | To be paid in 4 days of offer-rollout | ₹43,000 |
2nd Instalment | 27th April, 2026 | ₹42,000 |
3rd Instalment | 27th May, 2026 | ₹42,000 |
4th Instalment | 26th June, 2026 | ₹42,000 |
Note:
*Application fee is non-refundable and will not be adjusted in the total programme fee.
GST @ 18% will be charged extra in addition to the fee.
Refund Policy
Candidates can withdraw within 15 days of 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.
If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.ac.in and icare@timespro.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.