AI in Manufacturing and Industry 4.0
Revolutionize Manufacturing with AI: The Future of Industry 4.0
Early access to e-LMS included
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.
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
- 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
Who Should Enrol?
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.
- Hands-on experience with AI-enhanced robotics and digital twins.
Fee Structure
Discounted: ₹8,499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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