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Compare outcomes, level, prerequisites, workload and assessment—not only the topic title.
For BSc, MSc and PhD learners
STEMMING connects practical learning in Agentic AI, smart green and solar systems, quantum trust and security, and venture creation. Start with one mini-credential that strengthens a real study, research or career need.
The project target is 7,000 successful student participants over the funded period; individual cohort places and eligibility will be announced separately.

What you can expect
Choose by the problem you want to solve
The pillars converge in smart energy and critical-infrastructure challenges. You may start in one and later stack learning across another.
Use and build AI-assisted STEM workflows responsibly.
See student options 2 mini-credentialsWork with smart PV, energy data and digital-twin challenges.
See student options 2 mini-credentialsApply trusted and quantum-ready infrastructure concepts.
See student options 2 mini-credentialsTurn technical learning into value, employability and venture evidence.
See student optionsYour practical journey
My STEMMING gives you one place to shortlist options, register interest, follow requests and open confirmed learning links when cohorts are ready.
Compare outcomes, level, prerequisites, workload and assessment—not only the topic title.
Save the mini-credential in My STEMMING and receive only verified cohort information from the responsible team.
Use the official application or learning-system link when provider, dates, fee, eligibility and privacy information are confirmed.
Complete interactive content, labs, simulations, challenge work and guided self-study with support.
Submit the defined assessment evidence under the cohort rules and human-supervised quality process.
Use the evidence in your degree, portfolio, research, internship or venture journey when the relevant route is available.
A starting shortlist
Explore the first eight STEMMING mini-credentials. Each profile shows its current availability and will publish the confirmed cohort details needed to take part.
Design and evaluate a responsible AI-assisted workflow for a real STEM task.
EvidenceKnowledge check, short AI-workflow design task and responsible-use checklist.
Interpret photovoltaic device or system evidence and make a justified engineering judgement.
EvidencePV concept check and short device, measurement or system-performance report.
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.
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.
Opportunity pathways
The project plans at least 20 internships, 1,000 AI-assisted guidance with human expertise journeys, support for seven start-up or scale-up teams and three established start-ups. Access depends on capacity, fit, selection and separate conditions.
See the project targetsYour data and decisions
Your STEMMING profile keeps your selected pillars, saved mini-credentials, expressions of interest and support requests together. Learning, assessment and credential information is shown through the approved project services with clear privacy notices.
Ask an access or privacy questionBefore you commit
Each cohort publishes its own eligibility, recognition and opportunity conditions so that you can decide with confidence.
See all FAQs and supportSTEMMING 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.
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.
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.
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.
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.
Successful learners may receive a project or delivering-HEI credential under the approved procedures for that cohort. Local recognition, ECTS equivalence and issuer wording are never assumed and must be confirmed on the course page.
Build what comes next
Explore the common mini-credential architecture now, then register interest only when the outcome, workload and local conditions fit your needs.