About the Program
This comprehensive stack equips you with the knowledge and skills to navigate the dynamic landscape of modern manufacturing, fueled by cutting-edge digital technologies. We leverage the latest advancements to empower you to design, optimize, and revolutionize every stage of the production process. It helps to demystify Industry 4.0 and guides to Dive into the heart of Industry 4.0, the fourth industrial revolution, and understand how it integrates cyber-physical systems, smart factories, and data-driven decision-making. Master the art of connecting machines, sensors, and devices on the factory floor, enabling real-time data collection and seamless communication for enhanced efficiency and control through the course Industrial Internet of Things. This course on IIoT carries quite a few use cases that are being followed in the industry in real-time basis. Explore the transformative power of AI and ML algorithms for predictive maintenance, optimizing production processes, and unlocking new levels of automation.This complete stack enables you to gain the ability to harness the power of vast amounts of manufacturing data. Learn how to analyze, interpret, and extract valuable insights to optimize production, identify and prevent issues, and make data-driven decisions. The learners can delve into the exciting world of 3D printing, revolutionizing prototyping, design, and production with on-demand creation of complex geometries and the nuances associated with the technology. The specialization also Leverages digital twins for real-time monitoring, simulation, optimization, and predictive maintenance. Explore the integration of human-robot collaboration in manufacturing environ_x0002_ments. Learn how robots can assist humans in tasks, enhancing safety, productivity, and precision and the technicalities associated with Robot Programming. Understand the critical role of cybersecurity in protecting industrial networks from cyber threats. Master the art of safeguarding crucial data and ensuring operational continuity. Beyond the Technology, the stack guides you to develop your ability to think critically, analyze problems, and find innovative solutions in the dynamic world of digital manufacturing. Join us and be a part of the revolution that is shaping the future of production.
Courses
    Credits Semester
  • Applied Probability & Statistics for Manufacturing Engineering 4 I
  • Computer Applications in Design 3 I
  • Heavy Manufacturing Engineering 3 I
  • Computer Aided Manufacturing 3 I
  • Elements of Digitalization in Manufacturing 3 I
  • Research Methodology and IPR 3 I
  • Lab – Computer Aided Manufacturing Laboratory (Hands-on training using software Solid Works for Modeling & Ansys for Analysis) 2 I
  • Advanced Metrology 3 II
  • Critical Thinking, Design Thinking, Leadership and Team Work 3 II
  • Manufacturing Planning and Control Systems 3 II
  • Industry 4.0 in Manufacturing of Industrial Machineries & Industrial Valves 3 II
  • Robotics Engineering in Manufaturing 3 II
  • Safety for Engineers in Manufacturing 3 II
  • Lab – Automation and Robotics Lab (Hands-on training with the family of Robotic controllers like AVR, Espressif & ARM) 2 II
  • 3D Printing Technology in Manufacturing 3 III
  • Fundamentals of Adaptive cognitive Manufacturing systems 3 III
  • Project Management for Professionals 3 III
  • Business Communication 3 III
  • Career Readiness in Digital era 3 III
  • Project Work - Phase 1 6 III
  • Project work - Phase 2 (Industry Capstone Project at L&T Manufacturing Facility for a period of 4 weeks; preparation and submission of a detail project report and Certification by L&T) 12 IV
Delivery Mode - Hybrid
  • 30 hours of Self-paced content
  • 3 physical sessions
  • 3 VILT Sessions
  • 3 Assessments
  • 1 Industrial Webinar in each semester
  • 1 Hands on program at the end of 1st, 2nd & 3rd semester
  • Capstone Project for the 4th semester
Job Roles
  • Planning & Control Engineer
  • Production Engineer
  • Maintenance Engineer
  • Robotic Programmer
  • Production Technologist
  • Quality Engineer
  • Automation Engineer
Software Tools
  • AutoCAD
  • SCADA
  • Siemens-NX- CAM 3D
  • Siemens - Plant Sim
  • MS Project
  • MATLAB - Simulink
  • MATLAB - Industrial Robotics Toolbox
Program Outcome
  • Upon completion of this program, graduates will emerge as skilled professionals capable of harnessing the power of digital technologies to optimize manufacturing processes, enhance product quality, and drive innovation. They will possess a deep understanding of the principles of advanced Industrial versions, enabling them to build and manage smart factories.
  • Digital Manufacturing Expertise: Proficiency in implementing and leveraging digital technologies such as IIoT, AI, ML, and big data analytics to optimize manufacturing operations.
  • Data-Driven Decision Making: Ability to extract valuable insights from manufacturing data to inform strategic decisions, improve efficiency, and minimize waste.
  • Robotic Engineering: Ability to design a Robot, understanding the kinematics and dynamics associated with Robotics, Gripper design for various applications and the nuances of Robot programming.
  • Additive Manufacturing Proficiency: Hands-on experience in 3D printing technologies and their applications for rapid prototyping, production, and customized product development
  • Safety for Engineers: Understanding the best practices to protect men machine and related systems in a manufacturing environment and cyber related information like data integrity and security.
  • Automation and Robotics: Knowledge of robotic systems and their integration into manufacturing processes for increased productivity and precision.
  • Cognitive Manufacturing: Ability utilize machine vision systems, AR & VR technologies and digital twins for virtual testing, simulation, and predictive maintenance.