Implement the right framework combination at your organizatation— templates, examples and the NovaCred case study
AI Governance Frameworks: NIST AI RMF, ISO 42001, EU AI Act, OECD AI Principles
What you’ll learn
- Understand the four major AI governance frameworks — NIST AI RMF, ISO 42001, EU AI Act and OECD AI Principles — and what each one actually demands operationally.
- Select the right framework combination for your organisation based on regulatory context, maturity level, audience and business goals.
- Sequence your implementation across four phases — from values foundation through to legal compliance and external certification.
- Apply the NIST AI RMF four functions — GOVERN, MAP, MEASURE and MANAGE — to real AI systems using a structured risk register.
- Conduct an ISO 42001 gap analysis, score all 16 clauses and build a prioritised remediation roadmap toward certification.
- Classify AI systems under the EU AI Act risk tiers and identify all High-Risk obligations including human oversight, technical documentation and conformity asse.
- Operationalise the OECD AI Principles beyond a policy statement and reach Level 2 adoption with a functioning AI ethics review process.
- Use downloadable templates and the NovaCred FinTech case study to apply every framework to a real-world scenario immediately.
Course Content
- Module 0: Introduction – Navigating AI Governance Frameworks –> 5 lectures • 20min.
- Module 1 : NIST AI Risk Management Framework –> 18 lectures • 47min.
- Module 2: ISO/IEC 42001:2023 – The AI Management System Standard –> 12 lectures • 47min.
- Module 3: EU AI Act – Binding Law, Not Guidance –> 12 lectures • 40min.
- OECD AI Principles – The Philosophical Foundation of AI Governance –> 12 lectures • 40min.
- Module 5 – Framework Comparison, Selection & Sequencing –> 12 lectures • 43min.
- Module 6 – Summary & Next Steps – Bringing the Architecture Together –> 8 lectures • 18min.
Requirements
AI Governance Frameworks: NIST AI RMF, ISO 42001, EU AI Act, OECD AI Principles
The problem every AI governance professional faces right now
Four frameworks. Four acronyms. One very confused boardroom.
NIST AI RMF. ISO 42001. EU AI Act. OECD AI Principles. If you have sat in an AI governance meeting recently, you have heard these names thrown around — often by people who have not read any of them in full.
The honest answer to “which framework should we use?” is: it depends. And nobody is teaching you exactly what it depends on.
This course does.
What makes this course different
Most AI governance courses explain what the frameworks say. This course teaches you what to do with them.
You will learn how to select the right framework combination for your organisation’s specific context, how to sequence them across four implementation phases, and how to build AI governance that holds up — not just on paper, but under regulatory scrutiny and client due diligence.
Every module includes downloadable templates you can use immediately — an AI risk register, a gap analysis scoring sheet, an EU AI Act obligations checklist, an ethics policy mapping template, and a full sequencing roadmap.
And every template comes with a completed worked example. Not a blank page. A real example showing you exactly how to think through each framework applied to a real AI system.
The NovaCred case study
The course follows NovaCred — a Singapore-headquartered FinTech that discovered mid-deal that their credit scoring engine qualified as High-Risk under the EU AI Act. No conformity assessment. No technical documentation. No human oversight mechanism. German bank deal at risk.
Watch how NovaCred applied all four frameworks in sequence — OECD Principles as their values foundation, NIST AI RMF to build their risk register, ISO 42001 to achieve certification in 11 months, and EU AI Act to close all 12 High-Risk obligations. The deal closed. The certificate became a sales asset in every subsequent enterprise pitch.
Their story runs through every module. It is the most practical thing in the course.
The content is practitioner-first. Not academic. Not theoretical. Built from real engagements with real organisations facing real regulatory pressure.
This course is right for you if
You are in risk, compliance, legal, audit or AI practice and AI governance is landing on your desk. More importantly, this is useful for AI Technical Leads and Archiects to make sure that they builit the systems in compliance with these frameworks. Ofcourse, Project Manager and Program Managers who are managing the projects needs to steer overall solution towards AI Governance Compliance and hence they very well needs to understand these frameworks.
At the end of the day, you need to understand the frameworks and apply them confidently, and build governance that actually works in your respective organizations.
Why this matters now
The EU AI Act High-Risk AI system obligations become enforceable in August 2026. ISO 42001-certified auditors are already scarce. The organisations building genuine governance capability today will face significantly lower costs and significantly stronger market positions when regulatory pressure peaks.
The time to start is now.