Build practical, role-aligned expertise across the disciplines responsible for governing AI. Choose the foundational credential or explore a specialisation connected to your work.
Certification Pathways
Every credential is grounded in the RESAIA 1.0 Framework and focused on the decisions, controls, and evidence professionals use in practice.
Covers the full scope of AI governance; risk, compliance, security, ethics, and legal as one connected discipline. The starting point for anyone entering or working in AI governance.
Framework coverage
Choose the pathway that best reflects your responsibilities across the AI governance lifecycle.
SpecializedAI risk identification, assessment, treatment, and monitoring. Including risks specific to AI such as bias, drift, hallucination, and emergent behaviour in agentic systems.
SpecializedThreats to AI systems, including adversarial inputs, data poisoning, prompt injection, and model extraction, and the security controls to address them across the AI lifecycle.
SpecializedIndependent audit of AI systems, programme design, evidence collection, compliance verification, and conformity assessment.
SpecializedData quality, lineage, privacy, and protection obligations across the AI data lifecycle, from training data through to model outputs.
SpecializedAI vendor evaluation, supply chain risk, model provenance, and governance of third-party AI systems and foundation models.
A Consistent Standard
RESAIA certifications share a consistent assessment model while giving each professional discipline the depth and context it requires.
RESAIA exists to make that practice measurable, teachable, and accountable. It gives every discipline that touches AI a shared structure, a shared language, and a shared standard to measure against.