Effective governance depends on clearly defined scope, regulatory awareness, and alignment with organizational strategy, yet these elements are often addressed in isolation. As data, metadata, and AI initiatives expand, organizations must navigate increasing regulatory pressure while ensuring governance efforts meaningfully support business goals. This course, instructed by Irina Steenbeek, provides a structured approach to defining and integrating governance frameworks that address these challenges holistically. 

Participants examine global standards and regulatory requirements, assess risk and compliance considerations, and analyze how business capabilities connect to data, metadata, and AI initiatives. The course covers scoping governance initiatives, comparing industry frameworks, and developing integrated strategies, including business capability maps, implementation roadmaps, and measurable KPIs. Practical exercises and templates support hands-on application, enabling participants to plan sustainable, enterprise-ready governance approaches for long-term success. 

Course Highlights  

• Frameworks and approaches for defining the scope of governance across data, metadata, and AI. 
• Examination of global regulations and industry standards for data and AI management. 
• Methods for developing business capability maps aligned with governance initiatives 
• Strategic governance roadmaps, including KPIs for tracking implementation. 
• Integrated governance approaches across data, AI, and risk management. 

Pricing and Credits  

• Individual Course Price: $99 
• Learning Plan Price: $749 
• Course CEUs: 2.5 hours 

By the End of This Course, You’ll Be Able To:  

• Scope data, metadata, and AI governance initiatives effectively. 
• Analyze relevant regulations and industry frameworks for compliance. 
• Develop integrated governance strategies and business capability maps. 
• Design implementation roadmaps with measurable KPIs. 

Why Take This Course?  

This course provides practical tools to define, scope, and strategically plan governance frameworks that align with business capabilities, regulatory requirements, and risk considerations. It equips participants to develop structured, measurable approaches to managing data and AI governance. 

Is This Course Right for You or Your Team?  

This course is ideal for:  

• Data and AI governance professionals 
• Business leaders responsible for strategic initiatives 
• Risk and compliance managers overseeing regulatory alignment 
• Professionals developing or refining enterprise governance frameworks 

No technical experience is required. This course is designed for business-focused professionals seeking practical strategies to scope, design, and implement governance frameworks for data, metadata, and AI. 

This Course Includes:  

• A 207-minute educational training video  
• A 22-question content-based practice exam  
• “Check for Understanding” quizzes after each section  
• Downloadable presentation slides , templates, and exercises
• Self-paced, on-demand access with progress tracking  
• Unlimited course access