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IAPP Artificial Intelligence Governance Professional (AIGP)

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


IAPP Artificial Intelligence Governance Professional (AIGP)

Free to learn · paid certificate Recognized

The honest cost
CostNot published
ValidityNot stated on the fetched page.
RenewalNot stated on the fetched page.
AssessmentCertification exam; IAPP publishes a free Body of Knowledge and Exam Blueprint
ProctoredNo
Verify viaunknown
Cost per active yearUnknowncannot be computed — no published fee

Governance-facing credential covering AI law, risk and responsible-AI practice.

Read this before you buy

NO independent accreditation was found on its page — a dated absence, not proof it will never have one. Compare CertNexus CAIP above, which is ANAB/ISO 17024 accredited. Both are vendor-neutral AI certifications; only one is independently accredited, and that difference is the point.

· Official page

How we know

Fetched 2026-07-26 (3,369 chars). A case-insensitive scan of the full visible text for 'ANAB', 'ISO 17024' and 'accredit' returned ZERO hits. 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://iapp.org/certify/aigp/

Free preparation

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

NIST AI Risk Management Framework

Free to learn · no certificate

The voluntary framework most organisations are structuring their AI governance around. Free from NIST, and the vocabulary this job is conducted in.

The EU AI Act — the texts

Free to learn · no certificate

The regulation itself, free to read, with the risk tiers that decide what is permitted. Whether or not you are in Europe, it is shaping how products are built.

OWASP Top 10 for LLM Applications

Free to learn · no certificate

So you know what the technical risks actually are rather than only their names. Free.

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 Governance Specialist — You work out whether the organisation is allowed to ship the model, and on what conditions.
  • 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.