We're open through the holidays to support your upskilling goals — book your session today!
We're open through the holidays to support your upskilling goals — book your session today!
Unable to find what you're searching for?
We're here to help you find itChange Technology
Digital Twins are revolutionizing the way industries design, monitor, and optimize physical systems by creating virtual replicas of real-world assets, processes, and environments. The Digital Twins Expansion Certification Courses from Koenig Solutions empower professionals to understand, build, and scale digital twin solutions that drive operational efficiency and predictive insights.
This course covers data modeling, IoT integration, AI-driven simulations, and real-time analytics using leading platforms like Azure Digital Twins, Siemens MindSphere, and PTC ThingWorx. You’ll learn how digital twins enhance predictive maintenance, smart manufacturing, and asset management across industries such as automotive, energy, and healthcare. Designed for IoT engineers, data scientists, and system architects, this certification helps you bridge the physical and digital worlds. Enroll today to master the future of intelligent system design and industrial innovation.
Clear All
Filter
Clear All
Clear All
Clear All
*Excluding VAT and GST
Showing to of entries
The concept of Digital Twins originated in the early 2000s, introduced by Dr. Michael Grieves at the University of Michigan as part of Product Lifecycle Management (PLM). However, it gained mainstream attention after NASA used twin models for spacecraft simulation and maintenance during the Apollo missions. The rise of IoT, AI, and cloud computing in the 2010s fueled the rapid growth of digital twin technology. Today, major tech companies like Microsoft, IBM, and Siemens have developed advanced digital twin platforms that enable real-time monitoring and predictive analytics for complex industrial systems, reshaping the future of Industry 4.0.
Recent developments in Digital Twins focus on scalability, AI-driven automation, and cross-domain collaboration. Organizations are now implementing enterprise-wide digital twins that integrate entire ecosystems—from products to supply chains. Technologies like edge computing, 5G, and generative AI are accelerating real-time data exchange and simulation accuracy. There’s also growing adoption of sustainability twins, helping industries optimize energy use and reduce emissions. Koenig Solutions has updated its Digital Twins Expansion courses to include training on AI integration, multi-twin orchestration, and cloud-edge synchronization, preparing professionals for the next generation of smart digital ecosystems.
Ans - No, the published fee includes all applicable taxes.