4
connected pillars
AI, smart green, quantum trust and venture skills.
Green innovation for deep-tech STEM
From STEM knowledge to deep-tech action.
Build practical evidence across Agentic AI, smart green and solar systems, quantum trust and security, and venture creation—through eight short, assessed mini-credentials.
At least 10 structured learning hours plus assessment. Cohort-specific eligibility, recognition and opportunity details apply.
Build what comes nextChoose a connected learning path
Agentic AIUse and build AI-assisted STEM workflows responsibly.
2Smart Green & SolarWork with smart PV, energy data and digital-twin challenges.
2Quantum Trust & SecurityApply trusted and quantum-ready infrastructure concepts.
2Venture & EntrepreneurshipTurn technical learning into value, employability and venture evidence.
2Student and staff expressions of interest are open. Explore the eight mini-credentials and follow confirmed cohort updates in My STEMMING.
Review participation routesThe STEMMING offer at a glance
8
mini-credentials
Short, stackable and assessment-backed.
10+
structured hours
Plus a clear competence assessment.
AI + human
support model
Guidance with educator oversight and escalation.
Choose a field of action
Four connected pillars
Start with the skill your current study, teaching or project needs most. The mini-credentials are designed to connect rather than compete.
2 mini-credentials
Agentic AI
Use and build AI-assisted STEM workflows responsibly.
Explore this pillar 2 mini-credentialsSmart Green & Solar
Work with smart PV, energy data and digital-twin challenges.
Explore this pillar 2 mini-credentialsQuantum Trust & Security
Apply trusted and quantum-ready infrastructure concepts.
Explore this pillar 2 mini-credentialsVenture & Entrepreneurship
Turn technical learning into value, employability and venture evidence.
Explore this pillarEight practical choices
Explore the first mini-credentials
Every card shows the expected outcome, audience, workload, assessment evidence and current delivery status before you act.
Interest openMC1
Agentic AI for STEM Workflows
Design and evaluate a responsible AI-assisted workflow for a real STEM task.
EvidenceKnowledge check, short AI-workflow design task and responsible-use checklist.
Green & SolarSave mini-credential
Interest openMC3
Smart PV Devices, Characterisation and Systems
Interpret photovoltaic device or system evidence and make a justified engineering judgement.
EvidencePV concept check and short device, measurement or system-performance report.
Quantum TrustSave mini-credential
Interest openMC5
Quantum Trust and Communication Foundations
Explain quantum communication, QKD and QRNG concepts and relate them to trusted engineering systems.
EvidenceConcept check, QKD/QRNG reasoning exercise and terminology or system mapping.
VentureSave mini-credential
Interest openMC7
Green Deep-Tech Opportunity, IP and Market Validation
Turn a technical idea into an evidence-based opportunity, IP and first-customer validation brief.
EvidenceOpportunity brief, IP/standards canvas and documented customer-discovery evidence.
A clear learner journey
Choose. Learn. Prove. Apply.
Discovery, learning, assessment and human support form one clear pathway around each mini-credential.
Choose
Filter by pillar, audience, level and availability.
Learn
Work through concise online or blended learning and practical scenarios.
Prove
Submit a quiz, notebook, design, report, scenario or project artifact.
Apply
Connect the evidence to your course, challenge, internship or venture pathway where available.
Choose your STEMMING pathway
For students and researchers
Build evidence, not just awareness.
Add practical deep-tech evidence to your current STEM journey through manageable, assessed learning and real challenge formats.
- Transparent workload and assessment
- AI-assisted guidance with human oversight
- Opportunity pathways communicated separately and honestly
For academic staff
Add deep-tech. Keep the degree.
Map reusable outcomes, teaching assets and assessment blueprints into existing courses without presenting STEMMING as a curriculum replacement.
- Common credential and assessment architecture
- Train-the-trainer and adoption support
- Local QA and recognition decisions remain visible
Support without the hype
AI-assisted. Human-supervised.
STEMMING combines curriculum-aware digital guidance with access to educators, mentors and support staff. The portal guide helps you find project information, while the support route connects you with the right human team. Assessment, eligibility and credential decisions remain human-reviewed.
Before you commit
Clear answers to important questions
Each cohort publishes its own eligibility, recognition and opportunity conditions so that you can decide with confidence.
See all FAQs and supportWhat is STEMMING?
STEMMING is a European higher-education initiative developing short, assessed learning across Agentic AI, smart green and solar systems, quantum trust and security, and venture creation.
Who is the training for?
The main audiences are BSc, MSc and PhD learners, academic staff, professional university staff and selected ecosystem participants. Each cohort page confirms its own level, prerequisites and local eligibility.
How is the offer organised?
The public architecture contains four connected pillars and eight stackable mini-credentials. Local courses, challenge weeks and staff-development offers can implement those credentials in different settings.
How much time does a credential require?
A successful project completion is designed around at least 10 structured learning hours plus competence assessment. Any larger workload or local ECTS equivalence is confirmed by the delivering institution for a specific cohort.
What evidence will I produce?
Depending on the credential, evidence may include a quiz, notebook, design worksheet, scenario decision, short report, pitch or project artifact. The course page states the assessment before enrolment.
Build what comes next
Choose one mini-credential. Make one next step visible.
Explore the common mini-credential architecture now, then register interest only when the outcome, workload and local conditions fit your needs.