- 29 Oct 2021 (Fri) 9:00 AM - 5:00 PM
- 19 Nov 2021 (Fri) 9:00 AM - 5:00 PM
- 31 Dec 2021 (Fri) 9:00 AM - 5:00 PM
There are no formal prerequisites for attending this course.
Anyone interested in learning about the emerging Digital Twin technology can attend this course.
Digital Twin Training Course Overview
Digital Twins are the virtual replicas of the physical devices that can be used by data scientists and IT pros to run simulations before actual devices are built and deploy. It can be defined as a bridge between the digital and physical world. Digital twin technology can bring numerous benefits to the business in the short-term and long-term. This technology has moved beyond manufacturing and into merging the world of AI, IoT, and data analytics.
The Knowledge Academy’s Digital Twin Training course will introduce delegates to the fundamentals of the digital twin. Delegates will get an understanding of digital thread and shadow. In addition, delegates will acquire in-depth knowledge of digital twin technology drivers and enablers.
During this 1-day course, delegates will be equipped with the knowledge of development considerations. This course is formulated to introduce delegates to various types of digital twin based on products, process, functionality, and maturity. Post completion of this training, delegates will be able to manage data. Attending this course will develop delegates skillset to work in the trending domain of Digital Twin.
- Delegate pack consisting of course notes and exercises
- Experienced Instructor
What You’ll Learn
Digital Twin Training Course Outline
Introduction to Digital Twin
- What is Digital Twin?
- Digital Uses and Benefits
- Need for Digital Twins
- How Digital Twin Works?
Digital Twin – Digital Thread and Digital Shadow
- Digital Thread
- Digital Shadow
Digital Twin Building Blocks
- Building Blocks of Digital Twin
- Digital Twin Technology Drivers and Enablers
Types of Digital Twin
- Based on Product and Process
- Based on Functionality
- Based on Maturity
- Overview of Data
- Modeling Environment
Model and Data Management
- Managing Data
- The Model
Digital Twin – Industrial Possibilities
- Digital Twin in Manufacturing
- Digital Twin in Automotive
- Digital Twin in Healthcare
- Digital Twin in Utilities
- Digital Twin in Construction