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AI in Manufacturing: Smart Factory & Industry 4.0 Guide

UDEMY

Description

A practical course focused on bridging the gap between operational technology (OT) and IT, showing how to implement AI, digital twins, and predictive intelligence in real manufacturing environments. It emphasizes collaboration between plant engineers, IT teams, and decision-makers. What you’ll learn

  • Master Industrial AI fundamentals and understand how AI, machine learning, and IoT are transforming modern manufacturing operations
  • Design and implement predictive intelligence systems using vibration analysis, thermal imaging, and multi-sensor fusion to prevent equipment failures
  • Build digital twin strategies for assets, processes, and systems to optimize production, reduce downtime, and enable data-driven decision making
  • Develop comprehensive Industrial AI roadmaps with clear ROI justification, phased implementation plans, and change management strategies
  • Navigate OT/IT convergence challenges, implement industrial cybersecurity best practices, and build cross-functional teams for successful AI deployment
  • Apply computer vision and AI-powered quality inspection to achieve 99%+ defect detection rates and eliminate manual inspection bottlenecks

Target audience

Plant managers and operations leaders, Maintenance and reliability engineers, IT/OT professionals, Manufacturing engineers, Digital transformation managers

Keywords

AI & Machine Learning, Digital Twin, Predictive Maintenance

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