AI Governance Foundation | Free Training
September 9, 2025
Artificial intelligence is transforming industries and influencing decisions across every sector. But without oversight, AI can introduce bias, compromise privacy, and erode trust.
This free course gives you a clear, practical foundation in AI Governance, so you can understand how to ensure AI is safe, ethical, and aligned with global standards.
What You'll Learn
- The foundations of AI governance — what it is, why it matters, and how it connects to organizational trust.
- Core principles — accountability, transparency, fairness, and privacy.
- Global frameworks & regulations — ISO/IEC 42001, NIST AI RMF, EU AI Act, OECD Principles, and UNESCO guidelines.
- The AI lifecycle — governance practices from design and development through deployment, monitoring, and retirement.
- Risk and compliance essentials — roles, responsibilities, policies, procedures, and auditing.
- Future trends and case studies — real-world examples of how governance drives responsible innovation.
Why Take This Course
By the end, you’ll be able to:
- Explain AI governance in simple, practical terms.
- Apply governance principles to real-world AI systems.
- Recognize how compliance frameworks shape AI practices.
- Understand how responsible governance enables innovation while protecting people and values.
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When we’re dealing with AI, we have to change the way we look at data. Information might have been collected in line with GDPR, but often, businesses end up using previous data to feed AI models, or to improve existing tools or AI decision making.
AI broadens the idea of what personal data is. The assumption that anonymising data puts you outside of the range of GDPR is muddied by the adoption of AI.
This guide provides a practical approach to AI governance for small and mid-sized businesses. It helps SMEs manage AI risk and build trust without overengineering their processes.
