Course Information

  • 1 day

  •  

    14 October

Investment

The investment for the training is €995 per participant, excluding VAT.

Included are the training day, lunch and refreshments.  

014

Curious?

Talk to our academy advisor

AI for Systems Engineering

Accelerate your systems engineering process with Artificial Intelligence

Systems Engineering manages complexity.AI helps you master it.

Modern systems are becoming larger, more connected, and more data intensive than ever. Requirements increase, interfaces grow, and decisions must be made faster without losing clarity or control.

Systems Engineering provides the structure. Artificial Intelligence adds speed and insight.

By combining SE methods with the power of AI, you can work smarter across the entire project, from requirements to architecture to verification. Imagine creating draft requirements from stakeholder input, automatically checking specifications for gaps or conflicts, speeding up trade studies, or using AI to identify risks and improvement opportunities in your system design.

This training shows you how to use AI directly in your daily engineering work. Not as theory, but as practical tools that save time and improve quality. Hands on exercises ensure you leave with techniques you can apply immediately.

Work faster. Make better decisions. Engineer smarter.

Who should attend

This training is designed for professionals working in Systems Engineering who want to increase their effectiveness using AI:

  •  Systems Engineers and Architects 
  •  Requirements Engineers 
  •  Verification and Validation specialists 
  • Technical leads and project engineers 

     

A basic working knowledge of Systems Engineering is recommended.
No prior AI or programming experience required.

With this training you’ll learn:

  • Identify System Engineering processes where AI can add the most value

  • Learn prompt engineering: how to ask AI the right questions for powerful answers

  • Understand the risks, ethics, and limitations of AI in System Engineering contexts

  • Embed AI support into daily improvement routines

Teaching professionals.

Tjerja Geerts MBA

Tjerja Geerts MBA

Competence Lead AI & Data Analytics
With deep expertise in AI strategy, data analytics, automation and compliance, Tjerja guides leadership and cross-functional teams to turn ambition into governed, high-value AI solutions. He facilitates structured ideation and innovation to uncover and prioritize use cases, align them with business strategy and regulatory requirements, and shape AI roadmaps and AI-powered concepts that create measurable value. As a strategist and AI innovation facilitator, he helps your teams explore, prototype, and operationalize AI responsibly across your organization.
Johan Custers

Johan Custers

Sr. Project Manager Medical Devices
Johan has more than 10 years of experience in the development of medical devices and accessories. Johan obtained his PhD in the field of de physical/colloid chemistry at the University of Technology in Eindhoven. As lead product developer he gained a lot of experience in the development of medical devices and the management of medical software development teams. He has a profound knowledge of the MDD/MDR regulations, as well as many important international standards, a.o. ISO13485, ISO14971, IEC62366, IEC60601-1 and the IEC62304. Johan is an analytical and strategic thinker, always looking for the big picture.

AI for Systems Engineering

ai for systems engineering

Sign Up Now

Practical information.

For whom

The AI for Systems Engineering training is designed for professionals who want to understand how Artificial Intelligence can support and accelerate their daily Systems Engineering work, or for those who are regularly involved in requirements, architecture, verification, or system development activities.

The program is suitable for both technical and non technical personnel who work with complex systems, specifications, or engineering processes and want to improve efficiency, quality, and decision making using practical AI tools.

Certificate

At the end of the session, participants will receive a declaration of participation.

Location & Dates

Location

Eindhoven – High Tech Campus 29

Dates 2026

14 October

Group size 

Maximum number of participants: 12.

 

Relevant courses.

HI-PP2 Green Belt Six Sigma

Product and Process Development

This course will teach you to perform development and improvement projects independently according to the DMAIC methodology. 

Marcel Logger
Marcel Logger
Competence Lead Six Sigma & Master Black Belt
  • 6 days
Learn more about this course

Systems Engineering Excellence: Tools, Trends & Technical Leadership

System Engineering
Enhance your systems engineering skills with our intensive training, focusing on practical applications, emerging trends, and leadership development for effective problem-solving and collaboration.
Marcel Logger
Marcel Logger
Competence Lead Six Sigma & Master Black Belt
  • 6 days
Learn more about this course
Explore more