Achieving Responsible AI with SAFe® Certification Course Overview
The Achieving Responsible AI with SAFe course is delivered in an instructor-led format, either in person or via live online delivery. Tuition includes access to SAFe Studio, which provides the digital course workbook, supporting learning resources, and a practice exam, where applicable. The cost of the associated SAFe certification exam is included in the tuition, with
no separate exam or registration fees.
Upon completion, participants will be equipped to apply SAFe-based governance and delivery practices to ensure AI-enabled solutions are ethical, transparent, compliant, and aligned with organizational strategy—while still enabling speed, innovation, and measurable business value.
As organizations accelerate the adoption of artificial intelligence, the challenge is no longer whether AI can be deployed—but whether it can be deployed responsibly, transparently, and at scale. Responsible AI requires more than technical controls; it demands governance, accountability, and alignment between business objectives, delivery teams, and organizational
values. The Scaled Agile Framework® (SAFe®) provides a structured operating model to integrate Responsible AI practices into enterprise delivery without slowing innovation.
The Achieving Responsible AI with SAFe® course explores how SAFe principles, roles, and governance mechanisms can be used to guide the ethical, secure, and compliant development of AI-enabled solutions. Rather than treating Responsible AI as a separate compliance exercise, this course positions it as an integrated capability—embedded into strategy, portfolio decisions, system design, and execution practices.
Grounded in the Scaled Agile Framework® from Scaled Agile, Inc., this course equips leaders, product professionals, and delivery teams with practical approaches to align AI development with organizational values, regulatory expectations, and long-term business outcomes.
What You Will Learn
Participants will develop the ability to:
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Understand Responsible AI principles and why they matter at enterprise scale
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Apply SAFe roles, events, and artifacts to govern AI-enabled solutions
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Integrate ethical, legal, and risk considerations into AI decision-making
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Align AI initiatives with business strategy and value streams
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Establish transparency and accountability across AI development and deployment
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Use Lean-Agile governance to manage risk without stifling innovation
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Support continuous learning and improvement in AI-enabled systems
Core Topics Covered
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Responsible AI concepts and enterprise implications
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AI governance using SAFe principles and structures
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Portfolio and product decision-making for AI-enabled solutions
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Risk, compliance, and ethical considerations in AI development
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Transparency, traceability, and accountability in AI systems
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Built-in quality and validation for AI-enabled delivery
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Continuous improvement and learning in AI-driven environments
Who Should Attend
This course is designed for:
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Executives and senior leaders responsible for AI strategy and oversight
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Product Owners, Product Managers, and business leaders working with AI-enabled solutions
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Agile leaders, architects, and change agents supporting AI adoption
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Risk, compliance, and governance professionals collaborating with delivery teams
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Anyone responsible for ensuring AI is deployed responsibly within a SAFe environment
Tuition
Day Classes
Cost: $499
Duration: 1 day
Evening Classes
Cost: $499
Duration: 2 nights
Course Delivery and Certification
The Achieving Responsible AI with SAFe course is offered as a live, instructor-led experience, available either onsite or through virtual delivery. Enrollment includes access to SAFe Studio, which contains the digital course materials, supplemental learning resources, and a practice exam when applicable. The SAFe certification exam fee is fully covered in the course tuition, with no additional registration or testing costs.
By the end of the course, learners will be prepared to implement SAFe-aligned governance and delivery approaches that promote responsible AI—ensuring solutions are ethical, transparent, compliant, and strategically aligned, while continuing to support rapid innovation and measurable business outcomes.