Digital Twins: Smart Cities, Business, and Beyond
Transform your understanding of digital twins with industry insights and real-world applications.
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Step into the future with “Digital Twins: Revolutionizing the Real World”—a beginner-friendly course designed to demystify one of the most transformative technologies of our time! Digital twins—virtual replicas of physical systems—are reshaping industries like manufacturing, healthcare, energy, and urban planning by bridging the gap between the physical and digital worlds. This course is perfect for beginners, requiring no prior technical knowledge, and is packed with reading recommendations to deepen your understanding.
What You’ll Learn:
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The origins of digital twins, from NASA’s Apollo missions to today’s cutting-edge applications.
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How technologies like IoT, AI, and cloud computing power digital twins.
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Real-world applications in industries such as manufacturing, smart cities, healthcare, and renewable energy.
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Practical insights through case studies from Siemens, GE, Philips Healthcare, and Virtual Singapore.
Why Take This Course?
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No Prior Knowledge Required: This course is designed for beginners curious about digital twins and their potential.
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Comprehensive and Accessible: We break down complex concepts into easy-to-understand lessons.
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In-Depth Resources: Explore curated reading recommendations to expand your learning beyond the course.
Who Should Enroll?
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Business professionals looking to understand how digital twins can optimize operations.
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Engineering students eager to explore cutting-edge technology.
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Urban planners seeking innovative tools for smarter cities.
Whether you’re a professional or simply curious about emerging tech, this course will give you actionable insights into leveraging digital twins for efficiency, innovation, and success. Join us now—the future starts here!
Evolution of Digital Twins: The History and significance of the new technology
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1
IntroductionWhat can you expect to learn on this course.
See the experimental follow-along slideshow for the course in the resources. These are in beta and may not work perfectly. The slide show cannot be edited only viewed.
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2
Definition and Core Concepts
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Challenges of Defining and Studying Digital Twins
Technologies Enabling Digital Twins
Applications of Digital Twins
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7
Artificial Intelligence (AI) and Machine Learning: Predictive Capabilities
Artificial Intelligence (AI) enables digital twins to analyze vast amounts of real-time data and generate actionable insights. This is an area which is expanding rapidly, and there is a lack of meaningful engagement in much of the specialist literature on Digital Twins.
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Artificial Intelligence - Integrating Ontologies
Artificial Intelligence is capable of mastering context and ontological perspectives on their physical twins. Chapter 7 of The Digital Twin by Crespi has lots of valuable context and depth on this and similar topics.
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Cloud Computing and Data Analytics
Where do all the massive amounts of data generated by Internet of Things devices go?
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Simulation Tools and Platforms
Simulation tools and platforms are a rapidly growing field and highly pertinent to digital twins.
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Case Study - AWS and Siemens and customer needs
Time for a coffee break. The lecture is focused on understanding the value of Dr Michael Grieves' contribution: Digital Twins, Simulation, and the Metaverse which is the most up-to-date guide on the technology. And understanding a Case Study - AWS and Siemens on addressing customer needs.
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course details
Video
1 hours
Certificate of Completion
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