Online/ e-LMS
Mentor Based
Moderate
3 Weeks
About
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
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.
- Hands-on experience with AI-enhanced robotics and digital twins.
Fee Structure
Fee: INR 8,499 USD 112
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Key Takeaways
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
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
Related Courses
NanoIndustria: Advanced …
NanoIndustria: Advanced …
AI in Tax Planning and …
TensorFlow and Keras Basics
Recent Feedbacks In Other Workshops
Ok.