GFAI9: Developing an Integrated Implementation Plan for (Meta)Data Management Capabilities

This final course in the program focuses on creating an integrated implementation plan that connects all core metadata management capabilities. Led by data management master instructor Irina Steenbeek, it covers aligning use cases, mapping critical data and metadata, designing connected data models, and defining supporting tools to improve data quality and governance. Participants gain a practical approach to managing dependencies across data, AI, and risk frameworks.

This course, instructed by data management expert Irina Steenbeek, brings together knowledge from prior modules to build a comprehensive, integrated implementation plan for metadata management capabilities. It emphasizes the alignment and prioritization of data and AI use cases, identification of critical data elements and chains, and design of connected business and data models. Core deliverables include defining metadata requirements, documenting data lineage, establishing AI governance, and specifying tool requirements such as data catalogs, lineage tracking, and knowledge graphs. 

Through hands-on exercises and real-world examples, participants learn to coordinate dependencies across multiple capabilities, enhance data quality, and ensure robust governance. The course also covers risk identification and adjustment of enterprise risk frameworks, providing a structured methodology for integrating organizational, technical, and strategic perspectives into a single actionable plan. 

Course Highlights 

  • Integrated implementation plan linking all core metadata management and AI capabilities. 
  • Alignment and prioritization of data and AI use cases with business goals. 
  • Mapping of critical data elements, chains, and metadata requirements. 
  • Connected business and data models supporting governance and quality improvement. 
  • Tool requirements, including catalogs, lineage, and knowledge graphs, to operationalize capabilities. 

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: 

  • Create an integrated implementation plan across capabilities. 
  • Identify and prioritize critical data elements and chains. 
  • Design connected data and business models. 
  • Specify tools and frameworks to support data quality, metadata, and AI governance. 
  • Apply risk and mitigation strategies within a comprehensive governance framework. 

Why Take This Course? 

This course consolidates learning across the full program into actionable strategies. Gain practical expertise in integrating all metadata management capabilities into a cohesive plan that supports governance, quality, and AI initiatives. 

Is This Course Right for You or Your Team? 

This course is ideal for: 

  • Data and governance professionals leading enterprise initiatives. 
  • Business architects linking data and AI capabilities. 
  • Project managers overseeing data or AI implementations. 
  • Leaders managing data quality, metadata, and AI governance. 

No technical experience is required. This course is designed for professionals looking to integrate core data, metadata, and AI management capabilities into a structured, enterprise-wide implementation plan. 

This Course Includes: 

  • A 160-minute educational training video 
  • A 23-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 
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