Skip to content

Heidelberg AI Curriculum

Search the curriculum

Heidelberg AI
Curriculum

1Pick your portal

MatrixListJourney

2Your references

AI newsDaily ChangelogDaily FAQ Tips How-tos

Canvases Glossary Tools index App store (opens in a new tab)LLM index (opens in a new tab)Videos

A living curriculum for practical AI work.

Home
Tips
Set eval criteria before testing

Tips

Set eval criteria before testing

Write observable pass conditions before reviewing a model response.

Continue with the source

Read Regression sets and evaluation ops

Read Governance, evidence and handover

CurriculumAll tracks

Heidelberg AI Curriculum · 2026