Packt
A self-paced Packt course on data and AI governance, covering organizational roles, lifecycle controls, responsible AI, and practical governance exercises.
This course examines how organizations govern data and AI through defined responsibilities, policies, frameworks, and controls. Topics include metadata, data quality, privacy, security, lineage, AI accountability, and responsible AI. Practical activities address governance charters, organizational decision-making, risk assessments, and model documentation. Intended for IT professionals, data managers, security specialists, and AI practitioners, the course is marked intermediate. The page recommends familiarity with data systems, although its prerequisite wording varies. Delivery is self-paced in English, with 16 modules, video lessons, practical exercises, case studies, and 15 assignments. An EasyCar case study connects governance concepts to organizational scenarios, including a customer-support RAG chatbot. What you will learn: • Explain and apply principles of data governance. • Identify responsibilities and roles in AI governance. • Apply governance frameworks throughout the data lifecycle. • Establish processes for responsible AI oversight. • Assess AI impacts and document models for transparency.
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