The Inaugural AI master class 2026: Unlock competitive advantage with your physical test data

MASTER CLASS | May 19-21, 2026 | Leuven, Belgium

Accelerate, Innovate and Transform your NVH workflows with customized AI applications in your organization.

Are you ready to learn how to unlock the full potential of your valuable data with AI? Join the Siemens AI master class. This event focuses on hands-on sessions, designed to practically show you how to leverage AI with your test data. You’ll learn how to enhance your engineering performance prediction, allowing past, present, and future data to bring continuous intelligence and a competitive advantage to your workflows 

Throughout this three-day hands-on master class, we’ll guide you step-by-step in building robust AI workflows, specifically tailored for critical areas like NVH & durability engineering, and far beyond.  

We understand that AI methods, concepts, and specialized jargon can seem complex. You might even hesitate to use your valuable historical and fresh test data to gain intelligent insights. That’s why we start from the very basics, assuming no prior expertise in data science. Our goal is to empower you with practical knowledge, so you can confidently apply AI in your workflows. 
 

Make sure you’re part of this transformative event, your future in AI starts here! 

What you’ll experience?

This hands-on master class offers a deep dive into practical AI for engineering. Learn AI essentials, cutting-edge data collection, validation, and effective data management. Prepare data for AI, then train and validate AI/ML networks. We’ll cover automating processes for data collection, data validation and data processing, integrating AI applications, and tackling “big data” by creating virtual databases. The objective is simple: to enable you to get the most out of your test data.

Let’s dive into the full agenda and explore how you can master the theory and seamlessly apply it in practice!

Why should you attend?

• Solve complex problems: Discover how AI solves or facilitates insight in complex engineering problems, accelerates development, and transforms testing organizations with real-world examples.
• Build foundational skills: Gain the essential skills to design and implement your very own AI-driven engineering workflows, all based on your unique test data.
• Optimize testing process for AI: Master smart data collection, validation, and data management techniques for AI-ready test data.
• Hands-on experience: Get practical, hands-on experience training, validating, and deploying powerful AI/ML networks.
• Tackle Data Challenges: Explore effective strategies for handling insufficient data, including creating virtual databases for robust AI training.
• Network with experts: Connect with industry experts, share valuable insights, and engage in stimulating discussions about the exciting future of AI in engineering.

Who should attend?

• NVH, durability & test engineers: Looking to integrate AI into their analysis, workflows and prediction tasks.
• Method & process developers & managers: Aiming to optimize data collection, validation, and management processes for greater efficiency.
• Data scientists: Interested in applying their AI expertise to real-world physical testing and engineering data.
• Anyone eager: to stay at the forefront of engineering innovation and leverage AI to drive better, faster decisions.

Hands-on Workshops

The workshops are designed for maximum interactivity and will be organized in smaller teams, ensuring a personalized and engaging learning experience:

• Creation and validation of basic AI/ML models to train on the essentials, progressing to more advanced topics towards the end of the training.
• Smart validation of measurement data.
• Putting Data management to practice.
• Processing raw data towards AI-ready data.
• Automating workflows.

Registration for AI master class

The participation fee for this impactful three-day event is 2,000 Euro + VAT. This fee covers engaging lectures, essential training materials, hands-on workshops, valuable social networking opportunities, lunch, dinner, and refreshments.