CAIP
Certified AI Practitioner
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Overview
What is CAIP?
CertNexus certification for AI/ML practitioners. First AI certification with ANAB/ISO 17024 accreditation. Vendor-neutral, focused on ML engineering (Supervised/Unsupervised Learning, Deep Learning, NLP). Not security-specific, but AI literacy foundation for security professionals.
Suitable for
Quick facts
Key details
Cost, prerequisites, exam & renewal
Cost over 5 years
Prerequisites
No formal prerequisites. Recommended: 1 to 3 years of AI/ML experience plus fundamentals in statistics, a programming language (e.g. Python, Java, or C/C++), databases, and data visualization.
Exam format
Exam AIP-210: 80 scored questions, 120 minutes, multiple choice and multiple response, passing score around 60 percent (form-dependent). Delivered via Pearson VUE or online proctoring (OnVUE).
Renewal & maintenance
Valid for 3 years. Recertification via 90 Continuing Education Credits (at least 30 per year) or retaking the exam; the CEC path costs a one-time 150 USD.
Classification
CertMap score and matching roles
Rating
Matching NICE roles
Mapping from NIST NICE Framework SP 800-181, status 2025. NIST source ↗
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This page follows CertMap methodology: editorial content is curated by hand. Score, costs and NICE mapping are aggregated from official provider documents. Score methodology → · TCO methodology →
Transparency: CertMap is operated by Daniel Thomas Heessel, who is also managing director of Threat‑Informed, a company specialising in Threat‑Informed Defense. CertMap currently receives no commissions from certification providers, no affiliate links, no sponsored placements. Podcast and interview guests are not paid for appearances and receive no affiliate commissions.
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About the CertMap editorial team
CertMap is an independent platform for comparing cybersecurity certifications, built on data-journalism standards that combine editorial curation with mechanical aggregation.
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