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CertNexus Certified Artificial Intelligence Practitioner (CAIP)

Issued by CertNexus. Below is what it costs, how long it lasts, and what it actually signals — with the date we checked.


CertNexus Certified Artificial Intelligence Practitioner (CAIP)

Free to learn · paid certificate Recognized

The honest cost
CostNot published
ValidityNot stated on the fetched pages.
RenewalNot stated on the fetched pages.
AssessmentCertification exam, accredited to ISO/IEC 17024:2012
ProctoredNo
Verify viaunknown
Cost per active yearUnknowncannot be computed — no published fee

Independently accredited by the ANSI National Accreditation Board — the only AI certification in our matrix that is.

Read this before you buy

ANAB/ISO 17024 accredits the CERTIFYING BODY's assessment process — a different and stronger claim than a vendor certifying competence on its own product. That is why it appears here rather than a vendor badge. Price, validity and renewal are all unpublished, so budget nothing until you see a checkout page.

· Official page

How we know

Accreditation quoted verbatim from CertNexus 2026-07-26: "the Certified Artificial Intelligence Practitioner (CAIP) Exam has been accredited by the ANSI National Accreditation Board (ANAB) to meet the ISO/IEC 17024:2012 standard requirements". Re-checked with a headless browser on 2026-07-28: the fee is still not published on the issuer's own page, so it stays recorded as unknown.

· https://certnexus.com/certification/certified-artificial-intelligence-practitioner/

Free preparation

Free resources first. Everything below is free to use; the exam itself is the paid part.

arXiv — the preprint archive

Free to learn · no certificate

Where the field publishes, free and open. Reading current work is the job, not preparation for it.

Attention Is All You Need

Free to learn · no certificate

Start from the foundational papers and follow their citations forward. Free on arXiv.

Practical Deep Learning for Coders (fast.ai)

Free to learn · no certificate

Free and excellent, but be clear what it is: a strong practical foundation, not research training. It does not substitute for the mathematics this role assumes.

BlueDot Impact — AI Alignment course

Free to learn · no certificate

Structured alignment curriculum, published unit by unit and browsable without signing up. "Start for free" is their own wording — but note the cohort is APPLICATION-GATED rather than merely free: you apply, you do not simply enrol.

BlueDot Impact — Technical AI Safety course

Free to learn · no certificate

Cohort-based technical safety course, free and application-gated; the curriculum is browsable without applying. TIME-SENSITIVE: when checked on 2026-07-26 the page read "Apply by 27 Jul", so that round has now closed or is closing. Check the live page for the current cohort rather than trusting this line.

AI Alignment Forum

Free to learn · no certificate

Where much of the technical discussion happens in public, free to read, with curricula and sequences published openly.

OWASP Top 10 for Large Language Model Applications

Free to learn · no certificate

The reference list of LLM application risks (LLM01 onward, 2025 edition), free and open like all OWASP projects. The risk listing also lives at genai.owasp.org/llm-top-10/ — that page's title reads "LLMRisks Archive", which is WordPress taxonomy naming for a listing page, NOT a sign it is outdated.

NIST AI 100-2 E2025 — Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations

Free to learn · no certificate

US government standards publication, free to download. Gives you the shared vocabulary for attack classes — useful precisely because it is the language auditors and regulators use.

NIST AI Risk Management Framework (AI RMF 1.0)

Free to learn · no certificate

The governance framework much AI risk work is organised around. Free; a companion Generative AI Profile (NIST AI 600-1) exists alongside it.

Used by these roles

  • AI Research Scientist — You originate the ideas — formulate the problems, run the experiments, publish the results.
  • AI Safety Researcher — You work on making advanced AI systems behave as intended — interpretability, alignment, evaluation.
  • AI Security Engineer — You find and close the ways AI systems get attacked — prompt injection, data poisoning, model theft, unsafe tool use.