AI Ethics & Governance: EU AI Act, NIST RMF & Responsible AI

Master AI bias, fairness, transparency & responsible AI | EU AI Act, NIST AI RMF & practical governance frameworks

Disclaimer: This course contains the use of Artificial Intelligence.

Go from AI ethics theory to practice — master the NIST AI Risk Management Framework, EU AI Act, responsible AI governance, and algorithmic bias detection with real-world tools, frameworks and interactive role-play scenarios.

This is the most practical AI ethics and governance course for non-technical professionals on Udemy — covering EU AI Act compliance, NIST AI RMF implementation, algorithmic bias detection, Responsible AI principles, and emerging frontier challenges including Generative AI ethics and Neurorights. No programming required. No technical background needed.

Whether you are a product manager, compliance professional, data scientist, policy analyst, or simply someone who wants to understand how to build and govern trustworthy AI — this course gives you the practical frameworks, tools and confidence to lead responsible AI initiatives.

What Makes This Course Different

This is not a theoretical course. Every topic connects directly to globally recognised AI governance frameworks and real-world tools:

• NIST AI Risk Management Framework (AI RMF) — hands-on implementation guidance

• EU AI Act — practical compliance navigation for the world's most important AI regulation

• Fairlearn and AI Fairness 360 — industry-standard tools for detecting and mitigating algorithmic bias

• Model Cards — structured documentation for responsible AI development

• Interactive AI role-play scenarios — simulate real AI ethics decisions in governance, compliance and product roles

• 4 downloadable resources — checklists and templates you can use immediately in your organisation

What You Will Learn

• Implement practical AI governance using the official NIST AI Risk Management Framework (AI RMF)

• Detect and mitigate algorithmic bias using industry tools — Fairlearn and AI Fairness 360

• Navigate the global AI regulatory landscape — EU AI Act, US approaches, and China's AI governance framework

• Master the core principles of Fairness, Accountability and Transparency (FAT) in real-world AI projects

• Analyse frontier ethical challenges in Generative AI, autonomous systems, and the emerging field of Neurorights

• Create Model Cards and structured documentation for responsible AI development

• Apply AI ethics principles across governance, compliance, product management and technical roles

• Understand AI bias, AI fairness and AI transparency in practical deployment scenarios

• Navigate ISO 42001 and OECD AI principles alongside EU AI Act compliance requirements

Who This Course Is For

• AI/ML developers and data scientists building fairness, safety and responsible AI into their models

• Product managers and business leaders responsible for AI governance strategy and ethical oversight

• Compliance, legal and policy professionals navigating EU AI Act, NIST AI RMF and AI risk regulations

• HR professionals and team leaders responsible for AI tool adoption and AI ethics policies in their organisations

• Students and researchers studying AI ethics, technology policy, and AI governance frameworks

• Any professional seeking to understand and shape the future of responsible AI — no technical background required

Course Includes

• 1 hour of practical on-demand video content

• 4 AI-powered interactive role-play scenarios simulating real AI ethics and governance decisions

• 4 downloadable resources — checklists and templates for responsible AI implementation

• Articles and links to key AI governance frameworks including NIST AI RMF, EU AI Act and ISO 42001

• Full lifetime access and certificate of completion

Important Note

Role-play scenarios are currently supported on laptop and desktop browsers via Udemy only. If accessing on mobile or tablet, please switch to a desktop browser for the role-play activities.