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Compare certifications

The certifications side by side: level, who it is for, domains, prerequisite and the next step.

Tick up to 3 to compare only those.
RAIFResponsible AI FoundationRAIPResponsible AI PractitionerRAILResponsible AI LeaderDPAIData Protection & AI ProfessionalAUDAIResponsible AI AuditorRAI-XResponsible AI for Executives
LevelFoundationSpecialistEnterpriseSpecialistEnterpriseEnterprise
Who it is forYou use AI tools at workYou build or ship AI-enabled productsYou will own the AI governance programYou work on a privacy or DPO teamYou are an internal auditorYou sit on a board or advisory council
Domains
  • AI fundamentals for non-specialists
  • Risks and harms
  • Principles and frameworks
  • Data protection basics for AI
  • Responsible use at work
  • Roles and accountability
  • 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
  • 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
  • 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
  • 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
  • Board and executive duties on AI
  • Strategic risk
  • Reading governance signals
  • Regulation at executive level
  • Crisis decisions
PrerequisiteNoneNoneRAIP or DPAINoneRAIP or DPAINone
Next stepRAIP, DPAIRAIL, DPAIAUDAIAUDAI, RAIPRAILRAIP

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