AI Governance Basics: What Every Professional Must Know

This course contains the use of artificial intelligence.

AI is reshaping every industry — but are the people deploying it equipped to do so responsibly?

From biased hiring algorithms to chatbots giving legally binding wrong advice, from hallucinating AI outputs to opaque automated decisions — the risks of ungoverned AI are no longer hypothetical. They are landing in courts, regulators' inboxes, and boardrooms right now. This free introductory course gives you a structured, jargon-free foundation in AI governance — so you understand what it is, why it matters, and how organizations are approaching it.

Whether you work in compliance, legal, HR, operations, finance, technology, or leadership, this course explains AI governance in plain language and connects every concept to situations you're likely to encounter at work.

What This Course Covers

• What AI governance is, why it has become a global regulatory and business priority, and what the cost of getting it wrong looks like in practice

• The global regulatory landscape — including the EU AI Act's four-tier risk classification, the NIST AI RMF, ISO 42001, and OECD AI Principles

• The core principles of responsible AI: fairness, transparency, accountability, privacy, safety, and human oversight

• How organizations identify, classify, and manage AI risk — including third-party and vendor AI risk

• Data governance obligations connected to AI: consent, lawful basis, automated decision-making, and privacy by design

• How governance applies across the AI development lifecycle — from pre-development ethics review to post-deployment monitoring

• Generative AI governance: hallucination risks, acceptable use policies, and vendor evaluation

• The organizational structures, roles, and policy frameworks that underpin effective AI governance

• How to begin your own AI governance learning journey and what certifications and frameworks to explore next

Who Will Benefit

• Professionals in compliance, legal, operations, HR, and business functions who need a structured AI governance foundation

• Managers and business leaders beginning to oversee AI tools and wanting clarity on their responsibilities under emerging regulation

• Learners considering a career path in AI governance, AI risk management, responsible AI, or related certifications

Prerequisites

No technical background is required. If you have a basic awareness of AI tools — such as chatbots or AI-assisted software — you have everything you need. This course is designed for professionals across all functions and seniority levels, not just IT or data teams.

What You Get With This Course

• Chapter quizzes at the end of every section to test and reinforce your understanding

• An initial knowledge check and a final full-length assessment to measure your progress from start to finish

• Three practical assignments that take you from passive learner to active practitioner

• Three immersive role play scenarios that put your knowledge into real organizational contexts

• A comprehensive downloadable toolkit — including glossaries, checklists, templates, cheat sheets, a vendor due diligence questionnaire, a risk assessment worksheet, and an AI acceptable use policy template — tools you can start using immediately

This course is the first step on the AI Governance Professional Track. Completing it will give you a clear picture of your next steps — whether that's the EU AI Act, NIST AI RMF, AI risk management, or a formal certification pathway.