AI in Manufacturing and Industry 4.0

Revolutionize Manufacturing with AI: The Future of Industry 4.0

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MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
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
Final Project
- Students 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.
Hands-on experience with AI-enhanced robotics and digital twins.

Fee Structure

Standard Fee: INR ~~5,998~~ USD 90

Discounted Fee: INR 2,999 USD 45

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!

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Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.