Why this mini-credential matters
Develop practical competence in responsible generative AI use, prompt and rubric design, retrieval-augmented generation, AI-assisted coding or data analysis, privacy and academic integrity.
The assessed task requires learners to document what the workflow can do, where it can fail, what data it uses and when a human must intervene.
By the end
What you should be able to do
- Explain the capabilities and limits of generative and agentic AI in STEM.
- Design a small prompt, RAG or tool-assisted workflow.
- Apply privacy, integrity and responsible-use checks.
- Evaluate outputs and define human-review points.
Learning path
Indicative syllabus
- 01
Responsible GenAI and AI literacy for STEM
- 02
Prompt, rubric and tool-use patterns
- 03
Retrieval-augmented generation foundations
- 04
AI-assisted coding and data analysis
- 05
Privacy, academic integrity and human oversight
Assessment evidence
How learning is demonstrated
Knowledge check, short AI-workflow design task and responsible-use checklist.
Credential and recognition
Successful completion may lead to a STEMMING/project or delivering-HEI credential under the approved procedure for that cohort. EIT Label, ECTS equivalence and local recognition are not automatic and must be confirmed before enrolment.
The delivery owner must confirm the issuer, local recognition, any ECTS equivalence and final co-branding before recruiting a cohort.