GFAI8: Customizing AI Industry Framework to an Organization’s Needs

Focused on turning complex AI regulations and industry frameworks into practical organizational governance, this course explores how AI initiatives can be structured responsibly and strategically. Led by data management master instructor Irina Steenbeek, it examines AI risks, principles, use cases, and policies to support compliant and value-driven adoption.

As AI systems become more embedded in business operations, organizations face growing pressure to govern them responsibly, transparently, and in line with evolving regulations. This course explores how widely recognized AI regulations and industry frameworks can be translated into governance models that reflect real organizational contexts, priorities, and use cases. 

Instructed by data management expert Irina Steenbeek, the course guides participants through analyzing AI regulations, risk classifications, and governance principles, while connecting them to AI strategy, lifecycle models, policies, and organizational roles. Emphasis is placed on drafting practical AI governance policies, defining responsibilities with RACI, assessing maturity, and understanding how deployment choices influence cost, risk, and oversight. 

Course Highlights 

  • Global AI regulations and industry frameworks and their implications. 
  • Organization-specific AI governance derived from established frameworks. 
  • AI risk classification and guiding principles for responsible implementation. 
  • AI policies, roles, and governance structures for effective oversight. 
  • AI maturity assessment and budget impact analysis. 

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: 

  • Interpret key AI regulations and governance frameworks. 
  • Identify AI risk categories and applicable principles. 
  • Align AI use cases with strategy and lifecycle models. 
  • Draft an AI governance policy with clear RACI roles. 

Why Take This Course? 

This course provides a structured approach to translating AI frameworks into organization-ready governance models. It covers practical structures for policies, roles, and risk management. 

Is This Course Right for You or Your Team? 

This course is ideal for: 

  • Data, AI, and analytics leaders 
  • Risk, compliance, and governance professionals 
  • Enterprise and solution architects 
  • Business and technology decision-makers 

No technical experience is required. This course is designed for business-focused professionals seeking to establish clear, responsible, and scalable AI governance aligned with organizational goals and regulatory expectations. 

This Course Includes: 

  • A 129-minute educational training video 
  • A 21-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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