Introduction to Digital Twins
1h 37mBeginner2024-11-21
Authors

Jonathan Reichental
Award-winning technology leader
Course details
Digital twins—virtual representations of a physical thing capable of simulating its behavior in real time under various conditions—stand to benefit dramatically from AI. While it can still be a meticulous process, creating and integrating these models has become much easier. In this course, learn how digital twins fit with your projects and with other aspects of contemporary infrastructure. Jonathan Reichental breaks down how this valuable technology works, why it matters, and how it can revolutionize how your organization designs, builds, and maintains solutions.
Skills covered
Introduction toArtificial Intelligence FoundationsArtificial Intelligence (AI)
Concepts
0. Introduction
- 01 - The new tools of digital twins
1. Background
- 02 - Digital transformation in the fourth industrial revolution
- 03 - History of digital twins
- 04 - Definition and scope of digital twins
- 05 - Digital twin types and industry use cases
2. Product Lifecycle Management (PLM)
- 06 - Digital twins in innovation and design
- 07 - Examples of digital twins in innovation and design
- 08 - Digital twins in development
- 09 - Examples of digital twins in development
- 10 - Digital twins in operations
- 11 - Examples of digital twins in operations
3. Digital Twin Technology Ecosystem
- 12 - Digital twins as a service (DTaaS)
- 13 - Role of IoT and edge computing in digital twins
- 14 - Digital twins and blockchain
- 15 - Digital twins and artificial intelligence
- 16 - Digital twins, the metaverse, and virtual reality
- 17 - Digital twins and cybersecurity
4. The Business of Digital Twins
- 18 - Strategy and management of digital twins
- 19 - Digital twin data management and analytics
- 20 - Skills required for digital twins
- 21 - Ethical considerations of digital twins
Conclusion
- 22 - Final thoughts and what to do next