Our training is for engineers, not data scientists. No programming, no derivations, with examples from simulation, testing and vehicle development.
Simulation, development, test and CAE teams, project leads
Foundations, methods (ML, deep learning, LLMs, generative and physics-informed AI, GNNs), data as the basis, applications in design, simulation and testing, typical mistakes in AI projects.
What you get Your team can classify AI methods, judge potential and limits, and spot its own applications
We introduce AI for one concrete use case in your department, including a hands-on introduction to dAIve Predict for the whole team.
What you get A first model on your data and one month of dAIve Predict access to evaluate it
Day one: foundations and AI literacy under the EU AI Act. Day two: work out use cases in your department and build them with dAIve Predict.
What you get Shared understanding, prioritised use cases and one month of dAIve Predict access
Foundations, practical skills and awareness for teams that use AI in their daily work.
What you get Documented training in line with the AI literacy duty in Art. 4 of the EU AI Act
Our engineers support your team on its first own model: preparing data, choosing a model, checking and documenting results.
What you get A model your team understands, maintains and can defend
We agree on the goal, prior knowledge and a suitable data set from your area.
Short and practical: what AI can do, what it needs, where it fails.
Your team trains a model in dAIve Predict on real or comparable data.
We review the result together and plan the next step.
We tailor content, length and examples to your department. Tell us which group you have in mind.