

Post Graduate Diploma in Smart Manufacturing offered by Work Integrated Learning Programmes
- Private Institute
- UGCApproved
- Estd. 1979
Post Graduate Diploma in Smart Manufacturing at Work Integrated Learning Programmes Overview
Duration | 1 year |
Total fee | ₹1.27 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Diploma |
Post Graduate Diploma in Smart Manufacturing at Work Integrated Learning Programmes Highlights
- Earn a diploma after completion of the course
- Case studies, projects and assignments for real world exposure
- Fee payment can be done in instalment
- Learn from industry best faculty
Post Graduate Diploma in Smart Manufacturing at Work Integrated Learning Programmes Course details
Engineering graduates with or without industry experience aspiring to venture into the niche domain of Smart Manufacturing
Understand the concept of Industry 4.0 and its impact on manufacturing
Explore the integration of digital technologies in traditional manufacturing processes
Learn about advanced automation technologies such as robotics, AI, and machine learning in the context of manufacturing
Study how cyber-physical systems and smart machines improve production processes
Discover how IoT connects machinery, sensors, and systems to gather real-time data for smarter decision-making
Learn about IoT-enabled predictive maintenance and smart monitoring systems
The Post Graduate Diploma in Smart Manufacturing is a two-semester Work Integrated Learning Programme designed for working professionals, who are aspiring for rapid career progression in the high-growth areas of IoT and Cyber Security of Manufacturing, connected manufacturing and other relevant domains and wish to stand out in highly competitive workplaces by acquiring prestigious Master’s-level qualification from a premier institution
Post Graduate Diploma in Smart Manufacturing at Work Integrated Learning Programmes Curriculum
Semester 1
Mechatronics
Industrial IoT
Big Data Analytics in Manufacturing
Cyber Security in Manufacturing
Semester 2
Connected Manufacturing
Elective 1
Elective 2
Elective 3
Electives
Mechanics & Robotics
Microfabrication Technologies
Machine Learning
Blockchain Technologies & Systems
Cloud Computing
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