CODE: NEN12
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course explores the principles and applications of Digital Twin and simulation technologies in industrial and business environments. The curriculum covers digital twin modelling, simulation techniques, integration with IoT and AI, and real-time analytics to support decision-making, predictive maintenance, and operational efficiency. Participants will learn how virtual replicas of physical assets, systems, and processes use real-time data to replicate behavior, optimize performance, and predict future outcomes.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand digital twin concepts and architecture for virtual representation of physical systems.
Develop and implement simulation models to analyze and optimize industrial processes.
Utilize real-time data streams for condition monitoring and predictive maintenance.
Integrate digital twins with IoT sensors, cloud computing, and AI analytics.
Apply digital twin technology for smart factory optimization, product development, and lifecycle management.
Use simulation for operator training, risk assessment, and decision support.
At the end of this course, you’ll understand:
This course is ideal for engineers, data analysts, system designers, and technology managers involved in manufacturing, industrial automation, smart infrastructure, and digital transformation initiatives seeking to leverage digital twins and simulations for enhanced asset management and process optimization.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources