Menu
Menu
CODE: NMA04
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course explores how advanced digital technologies are revolutionizing industrial operations by integrating virtual replicas of physical assets with actual data analytics. The course combines theoretical frameworks with practical case studies to demonstrate how these technologies enhance operational visibility, reliability and cost effectiveness across manufacturing systems. Participants will gain insights into the principles, design and implementation of digital twins, as well as how predictive maintenance strategies use AI, IoT, and machine learning to forecast equipment failures, optimize production efficiency and minimize downtime.
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 the core concepts and architecture of digital twin technology.
Apply predictive analytics and AI models for maintenance planning and decision-making.
Integrate IoT sensors and data streams to monitor equipment health in real time.
Develop strategies to reduce unplanned downtime and extend asset lifespan.
Evaluate the ROI and business impact of digital twin and predictive maintenance solutions.
Use digital twin insights to optimize production efficiency and operational performance.
At the end of this course, you’ll understand:
This course is tailored for manufacturing engineers, maintenance professionals, plant managers, operations supervisors, reliability engineers and digital transformation leaders seeking to enhance asset performance through data driven technologies. It is also valuable for IT specialists, industrial automation experts, and decision makers involved in implementing Industry 4.0 initiatives within manufacturing environments.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
