AI Governance Professional Training
This training guides AI-literate professionals through OECD AI Principles, the EU AI Act, NIST’s Risk Management Framework, and ISO/IEC 42001.
Start date
16.11.2026
Format
Instructor-led online training
Certificate
Certified AI Governance Professional
Duration
40 hours of live sessions
Ideal candidate profiles
The course is designed for governance & compliance leaders translating AI regulations into day-to-day controls, technical ML practitioners embedding trust-and-safety into their pipelines, and product/strategy owners balancing innovation with responsible-AI oversight.
Highlights of the training
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1. Interpret
key AI governance frameworks (OECD Principles, EU AI Act, NIST RMF, ISO/IEC 42001) and map their requirements to specific organizational contexts.
4. Implement
core governance tools and methods, such as risk registers, RACI matrices, red-team testing, and fairness dashboards, to apply governance practices across the AI lifecycle.
2. Assess
real-world AI systems by conducting bias and transparency evaluations, data-quality audits, and risk-mapping exercises.
3. Design
practical governance artifacts aligned with each framework’s clauses.
5. Collaborate
effectively in cross-functional teams through stakeholder workshops and simulations to negotiate trade-offs and finalize governance decisions.
6. Monitor
AI performance and support compliance through fairness dashboards, red-team test results, and structured documentation of governance activities.
Have questions? Let's talk!
Nour Aleid
Education Advisor
