Understand the security risks, legal obligations, ethical responsibilities, and governance requirements that come with deployingAI systems. This course provides actionable frameworks —not theoretical hand-wraving —for responsible AI adoption.
Foundation Cross-Functional
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What you´ll learn |
AI-specific security threats: prompt injection, data exfiltration, model inversion, adversarial attacks, and supply chain risks
Data privacy and regulatory compliance: GDPR, AI Act, sector-specific regulations, data processing agreements, and cross-border considerations
Bias, fairness, and explainability: sources of bias, measurement approaches, mitigation strategies, and transparency requirements
Responsible AI frameworks: organisational principles, review boards, impact assessments, and incident response procedures
Governance in practice: acceptable use policies, model cards, audit trails, vendor evaluation criteria, and continuous compliance monitoring
Pick the path that matches your team – Read more
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Target audience |
All Roles —Legal, IT, Product, Engineering, Leadership
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Prerequisites |
Generative AI Fundamentals
