Overview

AI is now woven through how organisations work and with it comes a new responsibility: using it safely, fairly and within the law. This practical, jargon-free course explains what AI governance is and why it matters, the rules that now apply (including the EU AI Act), how to put governance into practice and everyone's part in it. Four units, no technical or legal background needed.

Target Audience

Leaders, compliance, risk and anyone responsible for how AI is used across an organisation.

Learning Objectives

Upon completion, learners will gain a full and clear understanding of:

• What AI governance is and why it matters to every organisation
• The core principles of responsible AI
• The main rules, including the EU AI Act and what they require
• How AI governance works in practice, from policies to oversight
• The risks of ungoverned AI and how to manage them
• The part everyone plays in using AI responsibly

Features and Benefits

• Written for complete beginners: practical, jargon-free and easy to follow.
• Current and fact-checked: researched against up-to-date 2026 sources, including the latest tools and regulation.
• Four short, focused units with gated progression; each unit unlocks once the previous one is passed.
• Light, formative interactions running through every unit (click-to-reveal, quick knowledge checks and estimate-and-reveal sliders), never scored.
• An end-of-unit quiz that finishes with a marking screen showing which answers were right or wrong, with a short explanation for each.
• Easy retakes: a failed quiz drops the learner straight back into freshly shuffled questions, with no need to click through the unit again.
• Optional audio narration on every screen (the learner chooses to listen), plus narrated motion-graphic video introductions, with captions throughout for accessibility.
• Responsive layout, suitable for PC, tablet and mobile.
• SCORM 1.2 conformant (single SCO); reports completion and an averaged score to any compliant LMS.

Course Contents

Unit 1: Understanding AI Governance

• What AI governance is and why it matters now
• What can go wrong when AI is used without it
• The six principles of responsible AI (fairness, transparency, accountability, human oversight, safety, privacy)
• Governance, ethics and compliance; shadow AI; and AI literacy

Unit 2: The Rules and Frameworks

• The EU AI Act: the four risk tiers, timeline, penalties and provider vs deployer duties
• The UK's pro-innovation, principles-based approach
• The US state-and-federal patchwork
• The voluntary frameworks: NIST AI RMF and ISO/IEC 42001

Unit 3: AI Governance in Practice

• An AI policy, an AI inventory and risk assessment
• Data governance, human oversight and transparency
• Testing, vendor due diligence and tackling shadow AI
• Monitoring, documentation and incident response

Unit 4: Roles, Risk and a Responsible AI Culture

• Who is responsible, from the board to every employee
• Accountability, risk management and third-party risk
• Guarding against automation bias and building a responsible-AI culture
• Balancing innovation with caution and staying current