Engineer the systems behind intelligent manufacturing

Advanced Certificate Programme in Smart Manufacturing
& Future Factories

Move from connected machines to connected intelligence by understanding AI, IoT, digital twins and robotics in increasingly autonomous factories through IIT Delhi’s

Smart Manufacturing Course.

6 Months executive friendly
format
Live interactive sessions on Sundays
3 days of campus visit at IIT Delhi
Get certified by CEP, IIT Delhi

Intelligent manufacturing is driving industrial growth

Growth

25%

Targeted share of manufacturing in India's GDP by 2035

-NITI Aayog

Adoption

88%

Indian manufacturers already using AI/ML in operations

Rockwell Automation,
State of Smart Manufacturing 2026

Opportunity

100M+

Skilled jobs targeted through frontier-tech manufacturing by 2035

NITI Aayog

A programme spanning the full spectrum of smart manufacturing technologies

Live learning with IIT Delhi faculty

Learn through 75 hours of structured, interactive sessions on Sundays (9:30 - 11:00 AM and 11:15-12:45 PM)

Get certified by IIT Delhi

Earn an e-certificate from CEP, IIT Delhi

Learn an integrated curriculum

Cover the complete smart manufacturing stack, from sensing to
autonomous systems

Applied learning

Work through real-world case studies, analytical exercises, assignments and an integrated capstone project

Practise hands-on with tools and labs

Use industrial digital tools and experience connected technologies at IIT Delhi's Cyber-Physical Factory and Advanced Manufacturing Labs

IIT Delhi campus immersion

Visit IIT Delhi for 3-day campus immersion

*Travel and accommodation expenses for campus immersions are to be borne by the learner

Experience IIT Delhi advantage

The Advanced Certificate Programme in Smart Manufacturing & Future Factories is offered by the Continuing Education Programme (CEP), IIT Delhi, with the Department of Mechanical Engineering as the organising department.

  • #1 in India
    Engineering & Technology by Subject 2026
  • #2 in India
    Engineering
    2025
  • #3 in India
    Research Institution 2025
iit delhi campus

Smart manufacturing and future factories curriculum

  • 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
Learning outcome

Understand the architecture, processes, data and performance measures that define a smart factory

  • Introduction to Industrial Automation
  • Sensors, Actuators & Control Elements
  • PLC & Industrial Control Fundamentals
  • HMI & SCADA Fundamentals
  • Intelligent Automation
  • Automation Use Cases & Demonstration
Learning outcome

Understand the control systems behind automated production, including sensors, actuators, PLCs, HMI and SCADA

  • Introduction to Connected Factory & IIoT
  • IIoT Architecture
  • Industrial Communication & Connectivity
  • Industrial Data Acquisition
  • IIoT Data Flow & Edge Computing
  • IIoT Practical / Demonstration
Learning outcome

Understand how data moves across machines, industrial networks and edge systems

  • Introduction to Cyber-Physical Production Systems
  • Integration of Physical & Digital Production Systems
  • Smart Machines & Machine-to-Machine Communication
  • Cyber-Physical Factory Architecture & Demonstration
Learning outcome

Examine how physical production integrates with digital systems through smart machines and machine-to-machine communication

  • 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
Learning outcome

Apply manufacturing data, AI and computer vision to failure prediction, anomaly detection, quality inspection and process improvement

  • Introduction to Immersive Technologies
  • AR-Based Maintenance & Digital Work Instructions
  • Smart Interfaces & Human-Machine Interaction
  • AR / Immersive Technology Demonstration
Learning outcome

Explore AR and smart interfaces for maintenance, digital work instructions and human-machine interaction

  • 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
Learning outcome

Understand industrial robot programming, collaborative robotics, safety and autonomous manufacturing applications

  • Additive Manufacturing Fundamentals & Processes
  • Design for Additive Manufacturing
  • Additive Manufacturing Applications & Smart Machining
Learning outcome

Apply design principles for additive processes and examine their use across manufacturing and smart machining

  • Cybersecurity in Smart Manufacturing
  • Industrial Cybersecurity
Learning outcome

Understand how connected manufacturing systems are secured across machines, networks and industrial operations

  • Digital Twin Fundamentals
  • Digital Twin & Factory Simulation
  • Integrated Smart Factory Case / Capstone
Learning outcome

Use digital twins and factory simulation to examine operations, test scenarios and connect decisions across production

Modules list is indicative and can be modified at the discretion of Programme Coordinator.

Labs exercises & demonstrations

Experiential learning at IIT Delhi’s Cyber Physical Factory and Advanced Manufacturing Labs

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

The list of lab exercises mentioned is indicative.

Learning supported with tools

The list of tools is indicative and can be modified at the discretion of the Programme Coordinator.

Learn from expert IIT Delhi faculty

Programme Coordinator

Prof. Sunil Jha

Professor - Mechanical Engineering, IIT Delhi

Expertise

Advanced Manufacturing Automation Robotics Advanced Machining & Finishing

About the Faculty

  • Part of IIT Delhi’s faculty since 2007, with a strong focus on manufacturing and automation.
  • Brings 20+ years of experience across academia, advanced manufacturing research and industry.
  • Leads research across advanced machining, automation, robotics and high-precision finishing.
  • Recognised for significant contributions to magnetorheological finishing and precision manufacturing.
  • Published extensively in leading journals across precision technology, materials and manufacturing processes.

Get certified by IIT Delhi

Certificate of completion

agritech iit delhi completion certificate

Candidates must score at least 50% overall across the end-of-program MCQ exam (60%), assignments and project (30%), and attendance (10%) to receive the 'Certificate of Completion'

Certificate of participation

agritech iit delhi participation certificate

Candidates need to secure minimum 50% overall to be eligible
'Certificate of participation'

The organizing department for this programme is the Mechanical engineering.
e-certificates will be issued by CEP, IIT Delhi

Build command of the factory as one connected system

Develop expertise in IIoT, automation, AI, robotics and digital twins

Understand how technologies connect across the smart factory

Apply concepts through cases, exercises and demonstrations

Contribute to manufacturing transformationacross industries

Industries where you can create impact

Automotive
Aerospace
FMCG
Pharma &
Medical Equipment
Energy
Metals & Mining
Oil & Gas
Many more..

Functions where you can apply your expertise

Product Design
R&D
Production
Manufacturing Engineering
Process Engineering
Operations
Quality
Maintenance
Automation
Materials
Supply Chain
Plant Engineering
System Design
Safety & Compliance
Many more..

Become the expert behind autonomous factories

You are eligible if you:

  • Have a B.E./M.E./B.Tech/M.Tech or equivalent degree or have a Diploma with 2 years of relevant experience.
  • Have at least 1 year of work experience.

Flexibility may be offered to freshers with a strong technical background.

Smart Manufacturing & future factories
course fee

  • Programme fee* ₹2,50,000 Talk to us
  • Easy EMI options available ₹8,771/Month Easy installment plan Financing options are facilitated by TalentSprint.
    CEP IIT Delhi is not responsible for these services.

Application fee* : ₹1,000

Instalment plan
InstalmentDateAmount
Instalment 1To be paid within 7 days of Offer release₹50,000
Instalment 29th Feb 2027₹50,000
Instalment 32nd April 2027₹75,000
Instalment 44th June 2027₹75,000
Important fee information
  • *GST at 18% applies to the application fee and programme fee
  • Loan and EMI options are facilitated by TalentSprint. IIT Delhi is not responsible for these services
  • All fees are paid into the IIT Delhi CEP account. Payment details are shared after selection, and receipts are issued by the IIT Delhi CEP account
  • All fees paid are non-refundable and non-transferable, except as set out in the refund policy
  • Refund policy: candidates may withdraw within 15 days of the programme start date and receive 80% of the total fee paid. Applicable taxes are not refunded. To withdraw, email cepaccounts@admin.iitd.ac.in and iitd.smff@alv.talentsprint.com
  • Eligible refunds are processed within 30 working days of receiving the withdrawal request

Enrolment and selection process

01

Apply for
the programme

02

Submit the
required details

03

Await selection by the Programme Coordinator, IIT Delhi

04

Receive your offer letter
from CEP, IIT Delhi

05

Pay the first instalment
to confirm your seat

Last date to apply 15 November 2026
Programme starts 14 February 2027
Programme ends August 2027

Connected intelligence is taking factories towards autonomy. Engineer what comes next

Advanced Certificate Programme in Smart Manufacturing & Future Factories · CEP, IIT Delhi

About IIT Delhi and CEP

About IIT Delhi

The Indian Institute of Technology Delhi (IIT Delhi), one of the five initial IITs established to advance training, research and development in science, engineering and technology, is today an Institution of National Importance and India’s top-ranked institution in the QS World University Rankings 2026.

Its strong focus on translating research into real-world impact is reflected in the work of the Foundation for Innovation and Technology Transfer (FITT), which began incubating start-ups in 1999–2000 and has since enabled 2,100+ industry collaborations, 1,300+ patent filings and 150+ start-ups, while IIT Delhi’s 65,000+ alumni network includes more than 2,500 founders and co-founders.

About CEP

Executive Education is a vital need for organisations to build a culture that promotes newer technologies and solutions and builds a workforce that stays abreast of the rapidly transforming needs of the technological, business and regulatory landscape.

Committed to making quality education accessible to all, IIT Delhi has launched Online Certificate Programmes under eVIDYA@IITD: enabling Virtual & Interactive-learning for Driving Youth Advancement @IITD for Indian as well as international participants.

These outreach programmes are designed to cater to the training and development needs of organisations, industries, society and individual participants at national and international level, with a vision to impart high-quality Online Certificate Programmes in cutting-edge areas for career advancement.

Frequently asked questions

Manufacturing is entering a new phase, factories are becoming connected, intelligent and increasingly automated. IIoT, 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

Career relevance will vary based on the participant’s prior experience, technical expertise and organisational requirements.

It is a 6-month executive programme offered through the Continuing Education Programme (CEP), IIT Delhi , with the Department of Mechanical Engineering as the organising 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. Loan and EMI facilities are offered by TalentSprint. These services are independent of IIT Delhi.

All programme fees must be paid directly to the IIT Delhi CEP account . Payment receipts can be downloaded from the CEP Portal.

No. Learners are responsible for their own travel and accommodation expenses during the campus immersion.

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.

IIT Delhi Smart Manufacturing Course Overview

The Advanced Certificate Programme in Smart Manufacturing & Future Factories by CEP, IIT Delhi, is a practical smart manufacturing course for professionals preparing to lead connected and autonomous factories. Delivered over six months, it covers the complete smart factory ecosystem, including industrial automation, sensors, PLCs, IIoT, edge computing, cyber-physical production systems, AI, machine learning, computer vision, robotics, additive manufacturing, cybersecurity and digital twins. The executive-friendly format includes 75 hours of live interactive Sunday sessions, industry case studies, analytical exercises, assignments, demonstrations, and an integrated capstone project. Participants also experience a three-day IIT Delhi campus immersion with exposure to advanced manufacturing labs and the Cyber-Physical Factory. Successful learners receive an e-certificate from CEP, IIT Delhi, subject to programme requirements across industries.