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Technologies / Architecture

Virtual twin - the foundations of the technology of the future

Advanced introductory training in virtual twin technology, which is revolutionizing the approach to industrial systems and infrastructure management. The program presents both the theoretical foundations and practical applications of digital twin technology, focusing on real implementation cases in industrial environments. Participants will learn the process of creating, implementing and using virtual twins through hands-on workshops and case studies.

Issues

  • Architecture of virtual twins

  • Real-time systems

  • Integration of industrial systems

  • Predictive analysis

  • Status monitoring

  • Process optimization

  • Systems security

  • Data management

  • Operational simulations

  • Predictive maintenance

  • Scaling up solutions

  • IT/OT infrastructure

Benefits

  • The participant will gain a deep understanding of virtual twin technology and its practical applications in an industrial environment
  • He or she will develop the ability to design and implement digital twin systems, taking into account the specific requirements of the organization
  • Will learn to integrate virtual twins into existing industrial systems and IT infrastructure
  • Will learn methods for using data from virtual twins for process optimization and predictive maintenance
  • Will master techniques for managing and developing digital twin systems for the long term
  • Will gain practical skills in data analysis and simulation of operational scenarios

Who is this training for?

Industrial systems and automation engineers
Digital transformation specialists in the industry
Architects of IoT solutions and industrial systems
Technology project managers
Designers of control and monitoring systems
Maintenance specialists
Manufacturing process engineers

Prerequisites

  • Knowledge of industrial automation systems
  • Understand the basics of IoT and real-time systems
  • Experience working with industrial systems
  • Basic knowledge of data analysis

Training program

01

Concept and architecture of digital twin

  • Components and layers of the system
  • Integration with industrial systems
  • Real-time data collection and processing
02

Implementation and integration

  • Designing models of virtual twins
  • Configuration of measurement systems
  • Integration with SCADA and MES systems
  • Data and communication management
03

Analytics and optimization

  • Monitoring system status
04

Predictive maintenance

  • Performance analysis and optimization
  • Simulation of operational scenarios
  • System management and development
  • Strategies for maintaining virtual twins
  • Expanding and scaling solutions
05

Security and data protection

  • Development of system functionality

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Virtual twin - the foundations of the technology of the future we recommend: Knowledge of industrial automation systems; Understand the basics of IoT and real-time systems; Experience working with industrial systems.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Industrial systems and automation engineers; Digital transformation specialists in the industry; Architects of IoT solutions and industrial systems.

Klaudia Janecka
Klaudia Janecka Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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