AREA OF DIGITISATION

Getting lost in the digital world and want to find out how it can help you? Do you need to optimize your processes? Do you want to implement specific elements of digitalisation but don’t know the options and processes? Do you want to maximize efficiency and strategically manage the digital transformation process in your company? Do you want to effectively collect traffic data and maximize its use in production?


What will you learn?

  • What is digitalisation and Industry 4.0
  • How to correctly describe, map and optimise processes, eliminate waste
  • What is the product lifecycle using digital tools
  • What are the possibilities of automation in production and administration
  • Why automated data collection and data handling is important
  • How to make practical use of AI, deep learning, machine learning, VR and AR
  • What are the technologies, materials, and applications of 3D printing (practical examples)
  • How to identify cyber threats and how to defend against them
  • How to communicate and implement change, motivate and lead innovation in your company
  • How to create your own digitisation project

Courses by level

  • BASIC | Introduction to Digitization; Dataset Creation | 8 hours | dates: 14.3., 15.5. 2024 | COURSE DETAIL
  • Digital Academy; Dataset Creation II | 2+2+1 day | 1st run: 25.-26.4. + 16.-17.5. + 6.6. 2024 | COURSE DETAIL
  • EXPERT | Digitální akademie II | 10 dní | na míru

Are you interested in our offer? Use this form to register for the currently announced courses or just request more information. We will get back to you.

Expert guarantors

Ondřej Kurkin | Managing Director of CARDAM s.r.o. | Expert in digitalization of processes, digital factory concept and product life cycle management.

Antonín Miller | Project Manager Industry 4.0 CARDAM s.r.o. | Expert in the areas of planning, management, rationalization and optimization of production and logistics processes.

Milan Chlada | Institute of Thermomechanics of the CAS| Expert in mathematical modelling and neural networks.