AI and Machine Learning in Manufacturing Operations

Objectives

• Explore the role of AI and machine learning in modern manufacturing processes.
• Understand the integration of predictive analytics for operational efficiency.
• Learn about real-time monitoring and quality control using AI tools.
• Examine case studies showcasing successful AI-driven manufacturing solutions.

Content

Introduction to AI and Machine Learning in Manufacturing

• Overview of AI and machine learning concepts
• Key applications in manufacturing operations
• Benefits and challenges of adoption

Predictive Maintenance and Analytics

• Machine learning for equipment failure prediction
• Data collection and analysis techniques
• Reducing downtime and maintenance costs

Quality Control and Real-Time Monitoring

• AI-powered quality assurance systems
• Real-time defect detection and process optimization
• Enhancing product consistency

DATE:

1ST BATCH: 27th – 30thJan, 2026    

2ND BATCH: 26th – 29th May, 2026

3RD BATCH: 15th – 18th Sep, 2026