Aim

This program aims to provide advanced knowledge on how AI integrates with Industry 4.0 technologies, transforming manufacturing through automation, predictive maintenance, and intelligent decision-making. It prepares participants to implement AI solutions in smart factories and connected ecosystems.

Program Objectives

• Learn how AI integrates with Industry 4.0 technologies.
• Implement predictive maintenance and process optimization using AI.
• Explore the role of robotics and digital twins in manufacturing.
• Gain practical experience through hands-on AI projects.
• Understand AI’s role in IoT and connected manufacturing systems.

Program Structure

Module 1: Introduction to AI in Manufacturing

• Overview of Industry 4.0 and Smart Manufacturing
• Role of AI in Transforming Traditional Manufacturing
• Key AI Technologies: Machine Learning, Computer Vision, and Robotics

Module 2: Predictive Maintenance with AI

• Predictive Analytics for Equipment Maintenance
• AI-Driven Condition Monitoring and Fault Detection
• Case Studies: Reducing Downtime and Costs in Manufacturing

Module 3: AI and Robotics in Manufacturing

• Collaborative Robots (Cobots) and Automation
• AI-Powered Robotics for Assembly and Inspection
• Computer Vision for Quality Control

Module 4: AI for Supply Chain Optimization

• Demand Forecasting with Machine Learning
• AI-Driven Inventory Management
• Supply Chain Resilience with AI in Logistics

Module 5: Digital Twins and AI in Manufacturing

• Introduction to Digital Twins
• How AI Enhances Digital Twin Models
• Real-Time Monitoring and Simulation of Manufacturing Processes

Module 6: Ethics and Challenges of AI in Industry 4.0

• Ethical Implications of Automation and Job Displacement
• Data Privacy and Security in Manufacturing AI
• Challenges in AI Adoption in the Manufacturing Sector

Module 7: Final Project

• Design a small-scale AI system for manufacturing, focusing on one area like predictive maintenance or quality control.

Participant’s Eligibility

• Manufacturing engineers, data scientists, AI researchers, and operations managers focusing on smart factories and Industry 4.0.

Program Outcomes

• Master the application of AI technologies in manufacturing.
• Develop skills to implement predictive maintenance using machine learning.
• Build AI-driven process optimization systems for smart factories.
• Gain hands-on experience with AI-enhanced robotics and digital twins.

Program Deliverables

• Access to e-LMS
• Real-Time Project for Dissertation
• Project Guidance
• Paper Publication Opportunity
• Self-Assessment
• Final Examination
• e-Certification
• e-Marksheet

Future Career Prospects

• Smart Factory Manager
• AI Manufacturing Engineer
• Industry 4.0 Consultant
• Robotics and Automation Specialist
• Digital Twin Engineer
• IoT Architect for Manufacturing

Job Opportunities

• AI-driven manufacturing industries
• Smart factory development companies
• Industry 4.0 consulting firms
• Robotics and automation solution providers
• Manufacturing and supply chain enterprises