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Good practice Imported

KI-Campus — Germany's national AI literacy learning platform

Germany · Berlin · See the Germany profile · See the Berlin profile

Evidence: Descriptive / self-reported Top 43% 53/100 · Ask Evidence Copilot about this practice

Germany's BMBF-funded AI literacy MOOC platform, jointly built by Stifterverband, DFKI and HPI; 60,000+ registered learners, 100+ free courses from fundamentals to sectoral AI applications, with digital certificates.

60,000+ learners
Registered learners (by mid-2024)
100+ courses
Free courses offered (as of 2024)
1,000+ videos
Learning videos available (as of 2024)
KI-Campus — Germany's national AI literacy learning platform

Details

Maturity
Established
Promoter
Stifterverband für die Deutsche Wissenschaft; DFKI; Hasso Plattner Institute
Period
2020–ongoing
Keywords
education, government, research, digital skills

Context

KI-Campus is Germany's national AI-literacy learning platform, established in 2020 by a consortium led by the Stifterverband für die Deutsche Wissenschaft and the German Research Centre for Artificial Intelligence (DFKI), with the Hasso Plattner Institute (HPI) and NEOCOSMO as co-developers. It is funded by the Federal Ministry of Education and Research (BMBF) as part of Germany's national AI strategy, and has moved through successive funding phases (2019-2022, 2023-2024, and KI-Campus 3.0 running through 2030 with additional co-funding from the Mercedes-Benz Fund).

Objectives

The platform aims to build broad AI literacy across German society by offering free, certified online courses spanning AI fundamentals, machine learning, generative AI and chatbots, sector-specific AI applications (public administration, healthcare, business), and AI ethics and governance.

Activities

KI-Campus delivers over 100 free online courses and more than 1,000 learning videos, primarily in German with a growing English-language offering. Learners who complete courses earn digital certificates and badges issued by partner universities.

Results

By mid-2024 the platform had registered more than 60,000 learners. The European Commission's Digital Skills & Jobs Platform has recognised KI-Campus as a national good-practice example for AI upskilling.

Conclusions

KI-Campus's multi-phase public funding structure and anchor corporate co-funding signal long-term institutional commitment, but current evidence of impact rests on self-reported registration and completion metrics rather than independent evaluation of learning outcomes.

Implementation
Indicative cost
Medium (€50k–€500k) — No explicit budget figure is published in available sources; scale is inferred from a decade-long, multi-phase BMBF funding structure (2019-2030) plus corporate co-funding, spanning several major research institutes — consistent with a medium-sized national programme rather than a small pilot.
Time to results
Long (> 3 years) — First funding phase 2019-2022, second phase 2023-2024, and KI-Campus 3.0 extending institutional support through 2030.
Staffing & skills
Stifterverband für die Deutsche Wissenschaft (lead), DFKI (German Research Centre for Artificial Intelligence), Hasso Plattner Institute (HPI), NEOCOSMO (co-development)

Conditions for success

  • Sustained, multi-phase national government funding (BMBF) reducing dependence on a single funding cycle
  • Corporate anchor co-funding (Mercedes-Benz Fund) adding long-term financial stability
  • Partnership with established research institutes lending curriculum credibility and enabling university-issued certificates

Common failure modes

  • No independent, peer-reviewed evaluation of learning outcomes has been published to date, so impact claims rest on registration/completion counts rather than demonstrated learning gains
  • Course offering is still primarily German-language, which may limit reach for non-German-speaking learners despite a growing English offering

Where it fits

Governance type
national government-funded consortium (public-private)
Scale
national
Income level
high-income

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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