Application of artificial intelligence in the field of mechanical engineering
The focus is on how to use UI tools and models to speed up engineering work, better analyze production and technical data, support product development, improve quality and more efficiently solve everyday tasks in mechanical engineering, while understanding the possibilities, limitations and risks of applying artificial intelligence.
WHAT IS THE GOAL OF THE PROGRAM?
The main goal of the course is to increase the productivity of participants in the field of mechanical and production engineering by using artificial intelligence tools, digital technologies, modeling, simulations and data-driven decision-making.
The program focuses on the application of artificial intelligence in the field of mechanical engineering – from understanding AI technologies in Industry 4.0 and working with technical documentation, through optimization, monitoring and quality assurance of production, to digital twins, virtual modeling, simulations and project applications on specific engineering problems.
WHO IS THE COURSE FOR?
- mechanical, mechatronics and related technical engineers who want to use AI tools in product development, manufacturing, maintenance, quality and technical documentation
- production, maintenance and quality assurance professionals who want to better understand the application of AI technologies, computer vision, predictive analytics and process optimization
- designers, CAD/CAE/CAM users and technical managers who want to apply digital technologies, generative AI and virtual modeling in product and process development
- anyone who wants to move from occasional use of AI tools to systematic and thoughtful application of artificial intelligence in mechanical engineering and industrial environments
WHY PARTICIPATE?
Mechanical engineering, production and development of technical systems increasingly rely on digital technologies, data and automation. Artificial intelligence is becoming a practical tool for faster analysis, better decisions, more efficient design, better process control and easier solving of complex engineering tasks.
By participating in the program, you will learn how to:
- use AI systematically rather than haphazardly
- speed up engineering work by using AI tools for technical documentation analysis, model preparation, data interpretation, idea generation and product and process development support
- apply AI in quality control, predictive maintenance, process optimization, computer vision and production data analysis
- understand where AI has real value in mechanical engineering, where its limitations are and how to critically evaluate model results
- use virtual modeling, simulations and the concept of digital twins to understand, improve and visualize manufacturing processes
The program focuses on specific situations from mechanical engineering and the manufacturing environment, rather than general theoretical overviews. The goal is to make AI a practical part of your professional toolkit for analysis, modeling, simulation, optimization, and better technical decision-making.
If you already use AI occasionally, this program helps you transition to a structured, reliable, and professional application of artificial intelligence in the field of mechanical engineering.
DESCRIPTION OF PROGRAM CONTENT
- Artificial intelligence and digital technologies in modern mechanical engineering
The unit connects the fundamental understanding of artificial intelligence with concrete engineering tasks: reading and analyzing technical documentation, recognizing areas where AI can provide value, and preparing the first practical examples for application in the students’ work. - UI in optimization, supervision and production quality assurance
Emphasis is on practical assessment where UI can help reduce errors, faster monitoring, earlier problem detection, more efficient optimization and better production quality. - Digital twins: modeling, simulations and data integration
The emphasis is on understanding how a digital model can be used to analyze and improve manufacturing processes, to verify assumptions before actual intervention, and to link technical data, simulation, and design development into a meaningful engineering conclusion. - Project-based application and work-based learning
The unit allows participants to connect the learning outcomes to their own professional context: from problem identification and tool selection, through model or simulation development to the explanation of results, limitations, and possible improvements. The project application also serves as a final check of understanding and practical applicability of the program.
HOW TO APPLY AND PARTICIPATE?
To apply, click the “Contact us for a free consultation” button. We will then contact you to present the program in detail and answer any potential questions. Upon confirmation of participation, participants will be sent an official offer.
The program has been approved by the Ministry of Labor, Pension System, Family and Social Policy for vouchers. The maximum voucher amount is EUR 502.59. The promotional price of the program until June 10, 2026 is EUR 502.59 + VAT (125.65) = EUR 628.29. The price reduced by the maximum voucher amount is EUR 0.00 + VAT (0.00) = EUR 0.00. The regular price of the program after June 10, 2026 is EUR 900.00 + VAT (225.00) = EUR 1,125.00. Therefore, for participants with vouchers, the price after June 10, 2026. reduced by the maximum voucher amount is 397.41 + VAT (99.35) = 496.76 EUR.