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SAFe

Achieving Responsible AI with SAFe

Course Overview

This instructor-led Achieving Responsible AI with SAFe® course (delivered in person or live online) provides participants with the knowledge to integrate responsible AI practices into enterprise delivery using the Scaled Agile Framework (SAFe). Tuition includes access to SAFe Studio resources and the associated certification exam. The course focuses on embedding ethical, transparent, and compliant AI practices into strategy, governance, and execution—rather than treating them as separate activities. Participants learn how to align AI initiatives with organizational values, regulatory expectations, and business goals while supporting innovation and measurable outcomes. At the completion of this course, participants wail be able to:

  • Understand key Responsible AI concepts and their importance at scale
  • Apply Scaled Agile Framework (SAFe) practices to guide and govern AI solutions
  • Incorporate ethical, legal, and risk considerations into AI development
  • Align AI initiatives with organizational strategy and value delivery
  • Promote transparency and accountability across AI efforts
  • Use Lean-Agile governance to balance risk management and innovation
  • Support continuous learning and improvement for AI-enabled systems

Audience

  • Executives and senior leaders overseeing AI strategy and direction
  • Product Owners, Product Managers, and business leaders working with AI solutions
  • Agile leaders, architects, and change agents supporting AI adoption
  • Risk, compliance, and governance professionals working with delivery teams
  • Individuals responsible for ensuring responsible AI use within a Scaled Agile Framework (SAFe) environment

Schedule

Currently, there are no public classes scheduled. Please contact a LEXX LIVETraining Consultant to discuss hosting a private class at 301-258-8200.

Course Outline

Responsible AI concepts and enterprise implications

AI governance using SAFe principles and structures

Portfolio and product decision-making for AI-enabled solutions

Risk, compliance, and ethical considerations in AI development

Transparency, traceability, and accountability in AI systems

Built-in quality and validation for AI-enabled delivery

Continuous improvement and learning in AI-driven environments

LEXX Live is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints re-garding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org

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