Web Based Training - oose eG
Valid does not mean correct
The AI produces a SysML v2 model. The validator reports zero errors. Still the decomposition misses the point, nothing satisfies one requirement, and a flow runs the wrong way. Checking syntax is not enough. You need checks that ask about meaning.
What you build
You build your own working environment, layer by layer. Checks start automatically the moment the AI writes. Tools name the rule, the location and the cause. Your method turns into a pipeline with fixed handovers. A log shows which rule still earns its keep and which one you take out again.
How we work
You work on a real modeling environment. We model together, the AI makes mistakes, and you catch them. Every correction becomes a rule that holds from then on. You leave with an environment that runs in your own project.
| Termin | Ort | Preis* |
|---|---|---|
| 01.02.2027- 03.02.2027 | online | 2.368,10 € |
| 17.05.2027- 19.05.2027 | online | 2.368,10 € |
This training walks you from Prompt Engineering through Context Engineering to Harness Engineering and In the process, you'll develop the following skills:
Valid or correct: spotting the gap
Automatic checking on every write
Tools that return evidence, not verdicts
Loading knowledge on demand, not all at once
Method as a fixed pipeline with handovers
Semantic checks above the syntax floor
Measuring which rule still earns its keep
Traceability your auditors accept
Ideally, you model with SysML v2, or you know SysML v1 well and bring basic MBSE knowledge. If the topic is completely new to you, take the seminar Model-Based Systems Engineering with SysML v2first. You need no experience with AI.
Systems engineers who model daily
MBSE and method owners
System architects
Engineering managers running an AI initiative
Quality and process owners in regulated industries
