Aleksandra Zimmer
Certified AI Foundations Associate (CAFA)
European Digital Credential certifying successful completion of the Certified AI Foundations Associate (CAFA) examination.
Credential Validity
Verified
Issued:
3/17/2026 5:58 PM
Valid from:
3/17/2026 5:58 PM
Validity:
Does not expire
Credential URI
urn:uuid:eb317b47-5f95-5dfd-b7a2-ac91fc5bcd3f
Claims
The holder has successfully passed the Certified AI Foundations Associate (CAFA) examination and demonstrated foundational, practical and non-technical AI literacy for the safe, effective and responsible use of modern AI tools in study, work and everyday life.
Learning outcome summaryExplain core AI concepts and terminology; use generative AI tools with structured prompting; apply multimodal AI tools for text, images, audio, video and presentations; detect and manage hallucinations, bias, misinformation and deepfakes; work safely with own data using RAG-style tools and simple AI agents; and apply basic legal, ethical, privacy and security principles including AI Act and GDPR basics.
Learning outcomes
- Explain core AI concepts and terminology at a plain-language, conceptual level.
- Use generative AI tools in a structured, prompt-driven way to support real tasks.
- Apply AI tools for multimodal content including text, images, audio, video and presentations.
- Detect and manage hallucinations, bias, misinformation and deepfakes.
- Work safely with own data using RAG-style tools and simple AI agents.
- Use AI in line with basic legal, ethical and security expectations, including AI Act and GDPR principles.
Participation requirementsNo formal prerequisites.
Remote, online, proctored examination delivered via the official AIPROI exam platform or an approved exam provider using a secure exam client or browser.
GradePass
Supervision and verification methodSupervised with identity verification
Assessment typeOnline
Assessment methodWritten examination
Exam codeAIP-CAFA-100
LanguagePolish
Issued2026-03-17
Grading schemepercentage
Grading scheme descriptionScaled score from 0 to 1000, with 700 as the minimum passing threshold. The result may be represented numerically as a scaled score and semantically as Pass or Fail.
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