
Clarity is essential when navigating data, AI, and governance in modern organizations. Instructed by data management expert Irina Steenbeek, this course brings structure to a complex landscape by aligning terminology, concepts, and industry perspectives across data, metadata, information, AI systems, and business capabilities. Through comparative analysis of leading global frameworks and regulations, the course creates a common language that supports informed decision-making and effective governance design.
The course explores how data and AI relate to organizational capabilities, how governance differs from management, and how frameworks are shaped by scope, domain, and enterprise context. Learners examine current guidelines from major industry bodies, define the goals and deliverables of governance and management frameworks, and apply concepts through a consistent real-world use case. By the end of the course, core industry concepts are clearly understood and connected, providing a solid foundation for applying governance frameworks within organizations.
Course Highlights
Pricing and Credits
By the End of This Course, You’ll Be Able To:
Why Take This Course?
This course provides a foundational understanding of data, AI, and governance that supports informed decision-making and effective organizational strategy. It equips learners to confidently navigate core industry concepts and frameworks.
Is This Course Right for You or Your Team?
This course is ideal for:
No technical experience is required. This course is designed for business-focused professionals seeking a strong foundation in data, AI, and governance to support strategic decision-making and organizational frameworks.
This Course Includes: