We’re excited to announce our newest professional training through NAFEMS:
AI Model Validation for Simulation Data: Knowing When to Trust and When to Doubt
📅 Date: 10 March 2026
💻 Format: Live Online (Webex)
🕘 Time: 9:00 am – 5:00 pm (MEZ / Berlin)
📌 Language: English
👨🏫 Trainer: Max Kassera, yasAI — expert in AI & simulation engineering
In this one-day immersive course, you’ll gain practical skills to confidently validate and evaluate AI/ML models used in simulation workflows — whether you built it yourself, inherited a pretrained network, or are evaluating a pretrained solution.
➡️ What You’ll Learn:
- Core validation metrics and their strengths/limitations in engineering contexts
- How to design robust validation workflows for simulation data
- Techniques for quantifying uncertainty & attaching confidence bands to predictions
- Strategies to detect failure modes and make data-driven decisions on model deployment Hands-on validation exercises with real datasets
- Hands-on validation exercises with real datasets
This course is ideal for simulation engineers and technical leads who want to ensure AI models support credible, trustworthy engineering decisions — especially in high-stakes environments where model reliability matters.
➡️ Visit the NAFEMS event page to register and learn more: https://www.nafems.org/events/nafems/2026/ai-model-validation-for-simulation-data-1/