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Asset Twin Mastery: Digital Twins For Manufacturing
Published 3/2026
Created by Jaimin Banker
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 1h 51m ) | Size: 1.1 GB​
Build Predictive Asset Twins from Plant Floor to Autonomous Intelligence - Practical Implementation for Manufacturing
What you'll learn
✓ Build a complete Asset Twin programme from data foundation to predictive intelligence using real plant floor frameworks
✓ Build a complete Asset Twin programme from data foundation to predictive intelligence using real plant floor frameworks
✓ Design OT/IT architecture for digital twins including data pipelines, alert systems and operator dashboards that maintenance teams actually trust
✓ Scale from one monitored asset to a plant-wide autonomous twin programme using a proven 18-month implementation roadmap
Requirements
● Basic understanding of manufacturing operations or plant floor environment. No data science or programming background required.
● Familiarity with common industrial terms such as PLC, SCADA, sensors or maintenance work orders is helpful but not mandatory.
● Completing Industrial AI Mastery (Course 1) is recommended but not required - this course is designed to stand alone.
Description
This course contains the use of artificial intelligence.
Most digital twin projects fail before they deliver a single result.
Not because the technology doesn't work. Because nobody told you which asset to start with, how to build the business case, or what to do when the vendor locks you into their platform.
This course fixes that.
Asset Twin Mastery is a practical, implementation-focused course built around a real manufacturing plant transformation - from a single monitored asset on Day 1 to 47 critical assets, zero unplanned failures, and 11.4x ROI at Month 18.
Every framework, every template, and every decision in this course comes from real plant floor experience - not a whiteboard.
What you will be able to do after this course
• Select your highest-value first asset using a structured scorecard - in under 2 hours
• Build a one-page business case that gets budget approved in a single meeting
• Deploy a working predictive twin in 90 days using a 3-phase, 2-gate pilot plan
• Ask the 7 vendor questions that separate trustworthy platforms from expensive traps
• Scale confidently from one asset to plant-wide using a proven 18-month roadmap
• Report 5 KPIs that protect your programme budget - and stop reporting the 3 that don't
Who this course is for
■ Manufacturing engineers, maintenance managers, plant operations leaders and OT/IT professionals who need a practical implementation framework for digital twins - not theory. Built for discrete manufacturing professionals in automotive, electronics, pharma and metals sectors who are ready to move from pilot to plant-wide programme.

Code:
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