AI Governance: Strategy, Policy & Responsible Deployment

About this course

This course involves the use of artificial intelligence(AI).

AI Governance: Strategy, Policy & Responsible Deployment is a comprehensive certification course designed to equip professionals with the knowledge, tools, and frameworks required to drive trustworthy, ethical, and compliant AI adoption within modern enterprises. As organizations accelerate AI transformation, the need for clear governance, strong risk management, and regulatory alignment has never been more essential. This course empowers learners to confidently design, deploy, and monitor responsible AI systems that protect users, uphold values, and deliver sustainable business impact.

Learners will develop a practical and strategic understanding of AI governance frameworks, including risk-tiering, policy enforcement, model transparency, fairness testing, explainability, and operational controls. They will learn how data quality, data lineage, and privacy-preserving machine learning shape the integrity and security of AI outcomes. Through hands-on labs using IBM watsonx.governance, participants gain real-world experience automating compliance, monitoring, and accountability across the entire AI lifecycle — from design and development to deployment, auditing, and decommissioning.

A key focus of the course is aligning AI governance with global regulations and best practices, such as the EU AI Act, GDPR, NIST AI Risk Management Framework, and ISO/IEC 42001 standards. Learners will explore how to meet stringent requirements for transparency

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