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Course Outline
Introduction
- Overview of Digital Twin
- Uses and benefits of Digital Twin
Fundamentals of Digital Twin
- Real-time applications of Digital Twin
- Core concepts of Digital Twin
- Evolving pairs
- Digital Twin timeline
- Key terminologies
Digital Thread and Shadow
- Digital thread
- Digital Shadow
Building Blocks
- Components of a Digital Twin
- Technological drivers and enablers
Types of Digital Twin
- Product-based and Process-based
- Functionality-based
- Maturity-based
Digital Twin Platform and Middleware
- Characteristics of Digital Twin platforms
- Organizational impact
- Implementation barriers
- Layered middleware architecture
- Middleware services
Digital Twin Adoption
- Adoption strategy
- Digital Twin blueprint
- Adoption assessment
Development and Management
- Overview of data and models
- Modeling environments
- Management of data and models
Life Cycle and Use Cases
- Product life cycle of a Digital Twin
- Review of use cases
- Maintenance of Digital Twins
Future of Digital Twin
- Companies and career opportunities in Digital Twin
- Industry benefits of Digital Twin
- Potential industrial applications of Digital Twin
Summary and Next Steps
Requirements
- No prerequisites are required.
Target Audience
- Data scientists.
- IT professionals.
- Anyone eager to learn and utilize Digital Twin technology.
14 Hours
Testimonials (1)
The trainer well prepared the course material beforehand and the session was very flexible and arranged to meet the trainee's interests. The management staffs were also around during the course to help us. The project was well managed in a friendly atmosphere throughout.
