Industry-Abridged Joint Certification Programme

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About Course

This course is intended to give students knowledge and skills about the digital manufacturing process as it relates to products. Its goal is to use digital technologies in manufacturing, services, supply chains, products, and processes. Digital manufacturing technology connects systems and processes throughout the manufacturing process resulting in an integrated manufacturing approach that spans design, production, and final product maintenance.

This course gives us insight into the concept of smart factories and digital transformation, including everything from digital twins to robotic process automation. Applications of Product Life Management, ERP, Value Chain Management, and IIoT are covered extensively. Additionally, the course dives into advanced subjects, including the demystification of Cyber-Physical Systems (CPS), the development of CPS components, the design of Robotic Arms for Industrial Automation, Industrial Internet of Things (IIoT) applications, and the integration of Artificial Intelligence (AI) in Digital Manufacturing.

This holistic approach ensures that students not only grasp the fundamental concepts but also gain practical insights into cutting-edge technologies, making them adept professionals in the ever-evolving field of digital manufacturing.

Digital Technologies with Cyber Physical Systems, IIOT & Cloud in Manufacturing
Digital Technologies with Cyber Physical Systems, IIOT & Cloud in Manufacturing

Pre-requisites

Basics of Manufacturing Technology


Course duration , assessment and expert session

20 hours of self-paced interactive learning, including summative assessment and expert live interactions


Key topics:

  • Introduction to Digital Manufacturing
  • Computer Aided Design, Engineering and Manufacturing
  • Product Life Cycle and Value Chain Management
  • Smart Factory
  • Cloud adoption
  • Demystifying Cyber Physical Systems
  • Development of CPS Components
  • Design of Robotic ARM for Industrial Automation
  • Industrial Internet of things (IIOT)
  • Artificial intelligence (AI) in Digital Manufacturing

Learning Outcomes:

At the end of the course, the student will be able to:

Gain knowledge in various technologies in Digital Manufacturing .

Understand how the data is shared in Digital Manufacturing to simplify the process

Understand basic concepts behind CPS and IIoT Technologies perspective.

Learn about smart factories, which connect the physical and digital worlds in order to monitor an overall production process


Key Job Roles:

  • Robotic Engineer and work planner.
  • Technology Engineer – Industrial Automation.
  • Machine tool Maintenance and control Engineer
  • Service & Maintenance Engineer

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