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AI Governance: Go from Zero to Framework in 30 Days
100 students

AI Governance: Go from Zero to Framework in 30 Days

Including Policy, Ethics, Procurement Controls and a Complete Document Suite
Created byNaomi Soko
Last updated 6/2026
English

What you'll learn

  • Build a complete AI governance framework from scratch, including policy, ethics, and procurement controls
  • Identify the mandatory roles every organisation needs and assign accountability at the right level
  • Understand the legal obligations governing AI use, including UK GDPR, the EU AI Act, and evolving global regulation
  • Create and implement the five core governance documents: AI Policy, Tools Register, Request Form, Ethics Framework, and Committee Terms of Reference

Course content

3 sections12 lectures48m total length
  • Introduction1:30

    In this introduction, we set the scene for everything that follows.

    Most organisations using AI today do not have a governance framework in place. They have tools their teams use every day, software their suppliers have updated, and decisions being made with AI involvement, all without anyone having formally assessed, approved, or governed any of it. This course is designed to change that.

    In this video you will learn what this course covers, who it is designed for, and what you will be able to do by the end of it. We introduce the AI governance framework, explain why building one matters now rather than later, and set out the practical, step-by-step approach this course takes.


    In this introduction, we set the scene for everything that follows.

    Most organisations using AI today do not have a governance framework in place. They have tools their teams use every day, software their suppliers have updated, and decisions being made with AI involvement, all without anyone having formally assessed, approved, or governed any of it. This course is designed to change that.

    In this video you will learn what this course covers, who it is designed for, and what you will be able to do by the end of it. We introduce the AI governance framework, explain why building one matters now rather than later, and set out the practical, step-by-step approach this course takes.

  • What is AI Governance -Transparency and Accountability3:43

    What is AI Governance?

    In this video we introduce the foundations of AI governance and explore the first two of four pillars that underpin the framework.

    We cover Accountability, what it means to have named ownership of every AI decision and output, and why without it responsibility simply disappears when something goes wrong.

    We talk about transparency, the obligation to be open about when and how AI is being used, both as a legal requirement in certain circumstances and as a professional standard in all others.

    By the end of this video you will understand what these two pillars mean in practice and why both must be embedded into your governance framework from the outset.

  • AI Governance - Compliance and Ethics5:24

    In this video we cover the final two pillars of the AI governance framework.

    We cover Compliance, what it means to meet your legal and regulatory obligations around AI use, why the landscape is changing rapidly across the UK, EU, and beyond, and why your governance framework needs to be built to adapt rather than fixed around today's rules.

    And Ethics, the pillar that goes beyond what the law requires and asks what the right thing to do is. We look at how AI can produce unfair or biased outcomes without anyone intending it, and what organisations need to do to actively identify and address those risks.

    By the end of this video you will understand the difference between compliance and ethics, why both are necessary, and how together the four pillars form the foundation of a governance framework that is legally sound, ethically grounded and built to last.

  • Why Governance Matters5:48

    In this video we look at why AI governance is urgent and what is at stake for organisations that do not have a framework in place.

    We cover the three categories of risk that AI introduces without governance. Legal risk, where failing to meet data protection and regulatory obligations can result in significant fines and enforcement action. Reputational risk, where biased or opaque AI outputs can seriously damage trust with customers, partners, and the public. And operational risk, where unvalidated AI outputs lead to poor decisions and downstream business harm.

    By the end of this video you will understand exactly why AI governance is no longer optional, and why acting now matters more than waiting for the definitive rulebook.

Requirements

  • No prior knowledge of AI governance is required. This course starts from the beginning and builds the framework step by step
  • A basic understanding of how your organisation procures or uses technology will be helpful but is not essential
  • An interest in responsible AI use, whether you work in governance, compliance, procurement, operations, or leadership

Description


This course contains the use of artificial intelligence.

Is your organisation using AI without a governance framework in place?

Most are. AI is already embedded in the tools your teams use every day, the software your suppliers provide, and the decisions your business makes. The question is not whether you are using AI. The question is whether anyone is governing it.

Without governance, organisations face real and growing consequences. Regulatory fines under UK GDPR and the EU AI Act. Reputational damage from biased or opaque AI outputs. Purchasing decisions that bring unapproved AI into the business without anyone noticing. And a regulatory landscape that is tightening globally, with over 70 countries now developing AI-specific legislation.

This course gives you everything you need to fix that, in 30 days.

What you will learn:

  • The four pillars of effective AI governance: Accountability, Transparency, Compliance, and Ethics

  • How to structure your governance framework across three levels: Strategic, Operational, and Compliance

  • The mandatory roles every organisation must assign and what each one is responsible for

  • The six rules of AI use that apply to every person in your organisation regardless of role or seniority

  • The five documents that form the complete governance suite, and how to build each one

Who is this course for:

  • Governance, compliance, and risk professionals responsible for AI policy

  • Procurement and contract managers who need to identify and control AI in supplier relationships

  • Business owners, senior leaders, and operations managers building or reviewing their AI strategy

  • HR, legal, and finance professionals involved in AI oversight and decision-making

  • Anyone who has been handed the AI brief and needs a practical, structured starting point

No prior knowledge of AI governance is required. This course starts from the beginning and builds the complete framework step by step.

Who this course is for:

  • Governance, compliance, and risk professionals responsible for AI policy in their organisation
  • Business owners, senior leaders, and operations managers building or reviewing their AI strategy