AI Governance Essentials: From Risk to Compliance

This course contains the use of artificial intelligence.

AI is being deployed faster than it’s being governed — and that gap is creating real risk for organisations, professionals, and the people affected by AI-driven decisions. Whether it’s a biased hiring algorithm, an opaque credit-scoring model, or a generative AI tool processing sensitive personal data, the consequences of ungoverned AI are no longer theoretical. This course gives you a structured, practical, and jargon-free foundation in AI governance — so you can understand, manage, and oversee AI responsibly, wherever your role sits.

Built for professionals across compliance, risk, legal, privacy, audit, and leadership, AI Governance Essentials takes you from understanding what AI is all the way through to building governance programmes and preparing for industry certifications — with no technical background required.

What This Course Covers

• What AI is, how it works, and why AI governance has become a business priority across every industry
• Core principles of responsible AI — fairness, transparency, accountability, privacy, safety, and human oversight
• Key AI governance frameworks including NIST AI RMF, ISO 42001, OECD AI Principles, and the IAPP AIGP framework
• Categories of AI risk — bias, hallucinations, adversarial attacks, supply chain exposures — and how to assess and treat them
• AI ethics in practice: high-stakes decisions in healthcare, finance, and criminal justice; human-in-the-loop systems; and algorithmic accountability
• The global AI regulatory landscape — the EU AI Act, US federal AI policy, India’s DPDP Act, and sector-specific rules in finance and healthcare
• How AI intersects with data privacy under GDPR — automated decision-making rights, data minimisation, and privacy-enhancing technologies
• How to build an AI governance programme — policies, inventories, roles, vendor due diligence, and audit documentation
• AI auditing basics — what auditors look for, evidence requirements, and emerging AI audit standards
• Your AI governance career path — key certifications (AIGP, AAIA, AAISM, ISO 42001) and how this course connects to your next step

Who Will Benefit

• Compliance, risk, audit, and legal professionals who need to understand AI governance obligations and frameworks
• Privacy professionals managing the intersection of AI and data protection under GDPR, DPDP, and other privacy laws
• Business leaders and managers responsible for overseeing AI adoption, policy, or third-party AI use in their organisations
• Professionals preparing for AI governance certifications including IAPP AIGP, ISACA AAIA, ISACA AAISM, or NIST AI RMF
• Consultants, advisors, and policy professionals who advise organisations on responsible AI use

Prerequisites

No technical background is required for this course. You don’t need to understand coding, machine learning, or data science to benefit — this course is designed for governance, compliance, and business professionals, not engineers. A general familiarity with how organisations use technology is helpful, but all AI concepts are explained from first principles in plain, accessible language. If you work with or around AI systems and want to understand how to govern them responsibly, you’re ready to begin.

By the end of this course, you’ll have a clear and structured understanding of the AI governance landscape, the ability to identify and manage AI risks in your organisation, and the confidence to contribute meaningfully to responsible AI programmes — whether you’re building policy, advising leadership, supporting an audit, or preparing for your next professional certification.