A credential earned in an exam, checked in seconds.
What each certification attests, how it is earned and how to verify one or many credentials, with no account and no need to contact DPCert.
How to verify
Ask the candidate for the credential code, which is on the certificate and on their public profile. For one code, use the verifier. For several, paste them all below.
How it is earned
- An individual, closed-book certification exam, which includes AI assistants, taken online with the time kept by the server.
- Each certification exam is drawn from a bank larger than the exam, in a different combination every time it is opened.
- The platform records objective signals during the certification exam, and every exam with signals is reviewed by a person before any decision.
- A revoked credential can still be looked up and shows as revoked in the verifier.
- The certification exam can be taken in English, Portuguese or Spanish, on the same blueprint for every candidate.
- The credential does not expire: no renewal fees, no CPE quotas. It stays valid unless revoked.
Certification exam integrity →How certification exams are built →
What each credential attests
Each certification assesses the domains in its syllabus. A holder has passed a certification exam that covers all of them.
RAIF · Foundation
Responsible AI Foundation
The entry point for any professional who uses AI: how AI fails, its risks, the main frameworks, data protection basics and responsible use at work.
Domains assessed
- AI fundamentals for non-specialists
- Risks and harms
- Principles and frameworks
- Data protection basics for AI
- Responsible use at work
- Roles and accountability
RAIP · Specialist
Responsible AI Practitioner
For product, data, engineering and risk people applying AI: lifecycle, risk and impact assessment, regulation, data governance, controls and vendor AI.
Domains assessed
- AI system lifecycle and inventory
- Risk and impact assessment
- Regulatory landscape
- Data governance for AI
- Technical controls
- Transparency and documentation
- Third-party and vendor AI
RAIL · Enterprise
Responsible AI Leader
For those who will own the AI governance program: committee and policies, ISO/IEC 42001, enterprise risk, regulatory strategy, incidents and culture.
Requires the RAIP or DPAI credential
Domains assessed
- Building the AI governance program
- ISO/IEC 42001 AI management system
- Enterprise risk integration
- Regulatory strategy
- Incident management and crisis
- Culture, training and change
- Case analysis
DPAI · Specialist
Data Protection & AI Professional
For privacy, legal and compliance teams and DPOs: GDPR and LGPD, data subject rights, accountability, breaches, international transfers and privacy in AI.
Domains assessed
- Data protection foundations
- Data subject rights and requests
- Accountability tools
- Security and breaches
- International transfers and vendors
- Privacy in AI and analytics
- Governance and audit
AUDAI · Enterprise
Responsible AI Auditor
For auditors and compliance consultants: audit fundamentals, ISO/IEC 42001 and 27701 audits, AI system evidence, regulatory conformity and supply chain.
Requires the RAIP or DPAI credential
Domains assessed
- Audit fundamentals for AI and data
- Auditing against ISO/IEC 42001 and 27701
- Auditing AI systems
- Regulatory conformity
- Third-party and supply chain assurance
- Audit casework
RAI-X · Enterprise
Responsible AI for Executives
For executives and board members who oversee AI: oversight duties, strategic risk and appetite, reading governance reports, regulation and crisis decisions.
Domains assessed
- Board and executive duties on AI
- Strategic risk
- Reading governance signals
- Regulation at executive level
- Crisis decisions
Certifying your team?
From 5 to 49 vouchers, you buy on the site, with a volume discount and a single invoice. With 50 or more, you get a proposal on the spot. The RAIF, the entry-level Responsible AI credential, has a free open assessment your team can practise with first.
Buy for the team