AI in Manufacturing and Industry 4.0

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Mentor Based

Program Syllabus

Module 1

About This Course

The program covers the role of AI in driving innovation in manufacturing, with topics such as machine learning for predictive maintenance, AI-based process optimization, robotics, and digital twins. Participants will explore case studies, hands-on projects, and AI-driven automation technologies that are shaping the future of Industry 4.0.

Module 2

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.

Module 3

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.

Module 4

Program Structure

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
Predictive Maintenance with AI
- Predictive Analytics for Equipment Maintenance
- AI-Driven Condition Monitoring and Fault Detection
- Case Studies: Reducing Downtime and Costs in Manufacturing
AI and Robotics in Manufacturing
- Collaborative Robots (Cobots) and Automation
- AI-Powered Robotics for Assembly and Inspection
- Computer Vision for Quality Control
AI for Supply Chain Optimization
- Demand Forecasting with Machine Learning
- AI-Driven Inventory Management
- Supply Chain Resilience with AI in Logistics
Digital Twins and AI in Manufacturing
- Introduction to Digital Twins
- How AI Enhances Digital Twin Models
- Real-Time Monitoring and Simulation of Manufacturing Processes
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

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.