intellcert Academy · Artificial Intelligence
Physics-Informed AI
This course teaches the use of Artificial Intelligence in combination with physical models and laws. The goal is to enable data-driven
Overview
Course contents
Our professional training courses are designed for professionals, specialists, and experts who wish to expand their knowledge in a targeted way.
Hands-on exercises
- Development of a simple physics-informed model concept
- Comparison of classical ML models vs. physics-informed approaches
- Analysis of a technical simulation problem with AI support
- Demonstration of a simplified PINN approach (tool- or notebook-based)
Learning objectives
- explain the difference between data-driven and physics-informed AI
- identify use cases for physics-informed AI
- conceptually design hybrid modeling approaches
- assess the benefits of physical constraints in AI models
- classify typical application areas in engineering and industry
- understand the limitations and challenges of PINN-based approaches
- analyze or evaluate simple physics-informed model concepts
Target audience
- Data scientists with a technical or scientific focus
- Engineers (mechanical engineering, electrical engineering, physics, simulation)
- AI developers in industrial or research environments
- Simulation engineers and computational scientists
- R&D teams in industrial companies
- Participants from IC-805-E-04 and IC-805-E-10
Prerequisites
- Required:
- Comparable technical AI and data science knowledge
- Strongly recommended:
- Basic knowledge of physics or engineering (depending on target audience)
- Not suitable for complete beginners without technical or mathematical background.
Required
- IC-805-E-04. Developing and Integrating AI Systems, or
- IC-805-E-10. AI for Time-Series Data (for data-driven modeling in technical systems)
Certification requirement
Without certification option
Delivery format: Online. For on-site or in-house training, please send us a request via our contact form. We will get in touch with you shortly thereafter.
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Related courses
Related courses: Artificial Intelligence
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