Advanced Certificate Programme in Smart Manufacturing & Future Factories
Features
Programme Overview
The Advanced Certificate in Smart Manufacturing & Future Factories brings together advanced technologies, applied manufacturing learning and IIT Delhi’s academic expertise.
Designed for working professionals, the programme builds expertise across IoT, AI, automation, robotics and digital twins, while demonstrating how these technologies connect across the smart factory.
₹ 2,50,000 + 18 % GST
Class Schedule
Sunday classes: 9:30 - 11:00 AM and 11:15-12:45 PM
Eligibility Criteria
Hold a B.E./M.E./B.Tech/M.Tech or equivalent degree
Have at least one year of work experience
Diploma holders with 2 years of relevant experience. Flexibility may be offered to freshers with a strong technical background.
Want to build expertise in smart manufacturing and future-factory technologies
Programme Highlights
Master Future-factory Technologies
Learn LIVE From IIT Delhi Faculty
Apply Smart Manufacturing
3 -day Campus Visit At IIT Delhi
Hands-on Learning With Digital Tools
Programme Modules
Programme Orientation & Introduction to Smart Manufacturing
Smart Factory Fundamentals
Digital Manufacturing Fundamentals
Smart Factory Architecture
Manufacturing Systems & Processes
Smart Manufacturing KPIs
Smart Sensors & Instrumentation
Sensor Data Acquisition
Introduction to Industrial Automation
Sensors, Actuators & Control Elements
PLC & Industrial Control Fundamentals
HMI & SCADA Fundamentals
Intelligent Automation
Automation Use Cases & Demonstration
Introduction to Connected Factory & IIoT
IIoT Architecture
Industrial Communication & Connectivity
Industrial Data Acquisition
IIoT Data Flow & Edge Computing
IIoT Practical / Demonstration
Introduction to Cyber-Physical Production Systems
Integration of Physical & Digital Production Systems
Smart Machines & Machine-to-Machine Communication
Cyber-Physical Factory Architecture & Demonstration
Manufacturing Data & Analytics Fundamentals
Data Preparation, Visualisation & Manufacturing Intelligence
Artificial Intelligence & Machine Learning for Manufacturing
Supervised & Unsupervised Learning Applications
Predictive Maintenance & Condition Monitoring
Anomaly Detection & Failure Prediction
AI for Quality Inspection & Process Improvement
Computer Vision in Manufacturing
Introduction to Immersive Technologies
AR-Based Maintenance & Digital Work Instructions
Smart Interfaces & Human-Machine Interaction
AR / Immersive Technology Demonstration
Industrial Robotics Fundamentals
Robot Coordinate Systems, End Effectors & Safety
Robot Programming & Manufacturing Applications
Collaborative Robots & Human-Robot Collaboration
Autonomous Manufacturing Systems
Robotics Simulation / Autonomous Systems Demonstration
Additive Manufacturing Fundamentals & Processes
Design for Additive Manufacturing
Additive Manufacturing Applications & Smart Machining
Cybersecurity in Smart Manufacturing
Industrial Cybersecurity
Digital Twin Fundamentals
Digital Twin & Factory Simulation
Integrated Smart Factory Case / Capstone
Learning Outcomes
Cyber Physical Factory Demonstration
Industrial IoT & Smart Connectivity
Digital Twin & Factory Simulation
Robotics & Autonomous Systems
AR-based Maintenance & Smart Interfaces
AI, Machine Learning & Computer Vision
Smart Sensors & Instrumentation
Additive Manufacturing & Smart Machining
Cybersecurity in Smart Manufacturing
Tools
Scikit-learn
Apache Spark
Grafana
IIo T Platforms
Influxdb
Node-RED
Robo DK
FACTORY IO
KEPServer EX
Rapidminer
ROS Industrial
Unity
Vuforia
Programme Coordinator
Professor Sunil Jha
Professor
Department of Mechanical Engineering
Indian Institute of Technology Delhi
Expertise
Advanced Manufacturing
Automation
Robotics
Advanced Machining & Finishing
Programme Sample Certificate
Candidates need to secure minimum 50% overall to be eligible for ‘Certificate of Participation’.
To receive the Certificate of Completion, candidates must score at least 50% overall across the end-of-program MCQ exam (60%), assignments and project (30%), and attendance (10%).
The organising department for this programme is the Department of Mechanical Engineering.
Please note, only e-certificates will be issued by CEP, IIT Delhi as shown above.
Installment Schedule
Programme Fee INR 2,50,000 + 18% GST
Instalment | Date | Amount (₹)** |
Application Fee | Application Fee | 1,000 + 18 % GST |
1st Instalment | To be paid within 7 days of Offer release | 50,000 + 18 % GST |
2nd Instalment | 9th February, 2027 | 50,000 + 18 % GST |
3rd Instalment | 2nd April, 2027 | 75,000 + 18 % GST |
4th Instalment | 4th June, 2027 | 75,000 + 18 % GST |
Note:
*GST @ 18% will be charged extra in addition to the fees
The application fee of INR 1,000/- + 18% GST is non-refundable and non-transferable. This fee is in addition to the programme fee and will not be adjusted against the total programme fee.
Refund Policy
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 amount paid. If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.in and iitd.smff@alv.talentsprint.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.
Frequently asked questions
Manufacturing is entering a new phase, factories are becoming connected, intelligent and increasingly automated. IoT, AI, robotics, digital twins and cyber-physical systems are enabling real-time visibility, faster decisions, predictive maintenance, stronger quality control and more agile production.
As these technologies converge across the factory, organisations need professionals who can understand individual technologies and integrate them into connected manufacturing systems. Building expertise in Smart Manufacturing enables professionals to contribute to this transformation across production, operations, quality, maintenance, automation and system design.
Depending on their experience, technical background and existing function, professionals can explore roles such as:
Smart Manufacturing Engineer
Digital Manufacturing Lead
Industrial IoT Engineer
Connected Factory Engineer
Industrial Automation Engineer
Robotics and Autonomous Systems Engineer
Digital Twin Engineer
Manufacturing Analytics Engineer
Manufacturing Systems Engineer
MES Application Specialist
Additive Manufacturing Specialist
Industrial Cybersecurity Engineer
Digital Manufacturing Consultant
It is a 6-month executive programme offered through the Continuing Education Programme (CEP), IIT Delhi, with the Department of Mechanical Engineering as the organizing department.
The programme covers technologies and systems shaping intelligent manufacturing, including IoT, automation, AI, robotics, digital twins, immersive technologies, additive manufacturing and cybersecurity.
The programme combines:
LIVE interactive learning from IIT Delhi faculty
A curriculum spanning the smart manufacturing technology stack
Cases, analytical exercises, assignments and projects
Learning supported by digital tools
Lab exercises and demonstrations
A three-day campus visit at IIT Delhi
A Certificate of Completion from CEP, IIT Delhi, subject to programme requirements
The programme is designed for:
Professionals with at least one year of work experience across engineering, manufacturing or technology functions
Technically strong freshers looking to begin their journey in Industry 4.0
Professionals preparing to transition into smart manufacturing and future-factory roles
The application fee is non-refundable and non-transferable. GST is applicable.
Yes. Candidates who withdraw within 15 days of the programme start date are eligible for an 80% refund of the programme fee received. GST paid is non-refundable. No refunds will be provided after 15 days from the programme start date.
To request a withdrawal, email cepaccounts@admin.iitd.ac.in and [TalentSprint Support Email]. Eligible refunds will be processed within 30 working days of receiving the withdrawal request.