AI Governance for Organizations

Categories: AI Governance
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About Course

12 months of access. Your one-time payment gives you access to this course for 12 months from the day you are enrolled. It does not renew automatically. Want the whole catalogue? All-access membership is coming soon.

How this course works

  • 12 months of access from the day you enrol
  • Self-paced lessons, hands-on labs and resources
  • Certificate of completion when you finish
  • Secure checkout with card (Stripe) or PayPal

Prefer live instruction? See the weekend cohorts. Want the whole catalogue? Membership is coming soon.

Your staff are already using AI tools. The question is whether your organization is governing that use. This course gives leaders, IT and risk professionals a practical way to adopt AI responsibly: mapping AI use, understanding the risks, applying recognized frameworks, writing policy, setting data and security guardrails, and running the programme over time.

It covers the NIST AI Risk Management Framework, ISO/IEC 42001, the EU AI Act at a glance and the Canadian context.

What Will You Learn?

  • Explain AI risks to leaders in plain language
  • Apply the NIST AI RMF and ISO/IEC 42001 concepts
  • Write an acceptable use policy for AI
  • Set data and security guardrails for AI assistants
  • Run AI risk assessments and measure the programme

Course Content

Why AI Governance
What AI governance means, the main risks it manages, and how to find out where AI is already being used in your organization.

  • What AI governance is and who owns it
  • AI risks: accuracy, bias, privacy, security, IP
  • Mapping AI use in your organization
  • Module 1 quiz: Why AI Governance

Frameworks and Law
A high-level tour of the main AI frameworks and laws, and how to use them as a guide without getting lost in them.

Policy and Roles
How to write an AI acceptable use policy people will follow, assign clear roles, and approve AI tools and vendors consistently.

Data and Security Guardrails
Practical rules and technical controls for what data goes into AI tools, how to secure assistants such as Microsoft 365 Copilot, and how to keep people in the loop.

Running the Program
How to keep AI governance working day to day: assessing risk, building staff AI literacy, and measuring and improving the program.