In the medium term, organizations will not be satisfied with ad-hoc AI answers. Compliance, ownership, and accountability require AI outputs that are reproducible, auditable, and justifiable; real data products rather than uncontrollable responses.

In this workshop, you and your team will move from theoretical foundations through tailored concept development to a customized process model, applying what you learn immediately in hands-on exercises.

Develop small, functional data products with Python in our 5-hour hackathon (incl. 1 hour break)! Experienced tutors will guide you through practical exercises based on the T-shaped knowledge approach.

Perfect for beginners and intermediate users.

Discuss your challenges and explore solutions together.

This training provides an introduction to DataCards, covering the orchestration and composition of data products, their interconnections, and the creation of your own frontends.

Through practical examples, the core features are explained step by step.

The goal is to give beginners a solid foundation for working effectively with DataCards.