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Courses/Information Technology/Artificial Intelligence

AI Governance and Ethics

Build practical AI governance for the tools your people already use — law and standards, data and security, agents and oversight, enterprise operations, and a maturity roadmap.

Created byGrant Gamble
BeginnerUpdated Oct 17, 2026
AI Governance and Ethics

What You'll Learn

check_circleClassify AI use cases by risk and match oversight and controls to the task, not the tool
check_circleNavigate the EU AI Act, NIST AI RMF, the UK approach and ISO/IEC 42001, and assemble evidence for regulators and boards
check_circleDraft internal AI policies, vendor approvals and third-party due diligence for platforms, copilots and embedded AI
check_circleApply data classification, minimisation and privacy controls, and defend against prompt injection, leakage and agent overreach
check_circleSet safe boundaries and review checkpoints for prompts, AI agents, agent mode and API tool calls
check_circleRun AI governance day to day — structures, use-case intake, incident management — and build a prioritised maturity roadmap

About This Course

This course contains the use of artificial intelligence. AI tools are used in the production of this course, including AI-assisted speech delivery based on the instructor’s own voice. All content, demonstrations and materials have been personally designed, reviewed, and verified by the instructor to ensure accuracy and practical value.

AI has stopped being a project run by a specialist team down the corridor. It is now a tool on every desk — drafting, analysing, summarising and, increasingly, taking action on its own. Most organisations are still trying to govern it with frameworks designed for something else entirely.

This course shows you how to build practical, operational AI governance for the tools your people already use, including ChatGPT, Claude and Microsoft 365 Copilot. You will move from a shared definition of governance through law and standards, data and security, agents and human oversight, and day-to-day enterprise operations, to a prioritised roadmap you can start on this week.

What you will cover:

  • Governance fundamentals: what AI governance means in 2026, the current product landscape, core responsible-use principles, the full AI lifecycle, and matching oversight to real risk.
  • Law, policy and standards: the EU AI Act, NIST AI RMF, the UK’s regulator-led approach and other regimes, ISO/IEC 42001 and assurance evidence, internal AI policy, procurement and third-party risk.
  • Data, security and privacy: data classification and minimisation, prompt injection, leakage and agent overreach, personal data and lawful basis, and content provenance and authenticity.
  • Prompting, agents and human oversight: governed prompts and libraries, safe agent boundaries, agent mode in Word, Excel and PowerPoint, APIs and tool calls, and review checkpoint design.
  • Generative content and decisions: content and copyright risk, bias testing and recourse, and explainability so that AI supports decisions rather than quietly making them.
  • Operating governance in the enterprise: governance structures and roles, use-case intake and approval, controls for everyday workplace AI, and incident management.
  • Sector applications: healthcare and life sciences, financial services and insurance, the public sector and education, and professional services.
  • Implementation and maturity: assessing where you stand, a prioritised roadmap with meaningful metrics, role-based AI literacy, and preparing for multi-agent systems.

Why this course is different:

  • It governs the AI your people actually use today, not only systems built in-house.
  • It is practical throughout: governance treated as an operating discipline, not a one-off approval or a policy document that sits on a shelf.
  • It sizes oversight to risk, so low-risk use keeps moving while high-stakes decisions get the scrutiny they need.
  • No technical or legal background is required.

Who this course is for:

  • Risk, compliance, legal and audit professionals responsible for AI oversight
  • IT, security and data protection leads rolling out ChatGPT, Claude or Copilot
  • Managers and business owners who need to approve, run or answer for AI use in their teams
  • Professionals in regulated sectors such as healthcare, financial services, the public sector and education
  • Anyone asked to write, implement or refresh their organisation’s AI policy

Your Instructor

Grant Gamble
Grant Gamble

CEO of AI Awareness Limited | 25+ years in IT training | Helping non-technical professionals go from AI-curious to AI-confident

menu_book3 courses

Grant Gamble has spent over 25 years in IT and technology training, working with businesses across the UK on practical AI adoption. He is CEO of AI Awareness Limited and founder of G Com Solutions Limited, and specialises in helping non-technical professionals move from AI-curious to AI-confident through hands-on, domain-specific training and certification. Grant's view is that AI is not a single tool but a set of capabilities spread across every department, often underused or ungoverned. The organisations making real progress are not the ones running generic awareness programmes; they are the ones mapping specific AI capabilities to specific workflows and giving their people the time and permission to use them. His courses take exactly that approach. His teaching covers practical AI literacy for non-technical professionals, AI skills and workforce readiness, and the governance and responsible use of AI at work. Expect a hands-on style: real business examples, clear explanations of why each technique works, and skills you can apply to your own work straight away.

Credit Information

Is this course eligible for my CPD requirements as a Canadian CPA?

Provincial regulators of CPAs in Canada do not require that independent providers of CPD be approved to offer courses. Instead, individual CPAs are responsible for assessing whether a CPD activity meets their requirements, and may take activities from any source provided those requirements are met.

Every course offered on LearnFormula is delivered by a qualified subject matter expert or learning organization, and advances learning objectives that are relevant to the responsibilities or professional competencies of Canadian CPAs. All activities on LearnFormula are quantifiable in terms of hours, and are also verifiable, in that users receive documented evidence of their attendance via a certificate of completion after finishing a course (and this certificate is stored by LearnFormula indefinitely). Nearly 100,000 Canadian CPAs successfully satisfy their CPD requirements via LearnFormula on an annual basis.

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Frequently Asked Questions

We are a registered provider with 327+ associations and regulatory bodies worldwide. We operate across 29 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.

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