Responsible AI refers to applying transparency, accountability and ethical principles to AI work. This course explains how SAFe supports these practices with clear structures and decision patterns.

Achieving Responsible AI with SAFe is a SAFe® Micro-credential course designed for professionals who want to apply Responsible AI (RAI) practices in a practical, accessible way.
You learn how to identify responsible AI risks, align stakeholders, evaluate policies, and structure AI initiatives so they are ethical, transparent and organizationally fit.
Throughout the course you work with concrete examples, simple canvases and hands-on activities. You build the skills needed to guide teams, support decision-makers and embed RAI thinking into everyday Agile work.
By the end of the course, you understand how to apply Responsible AI principles within SAFe environments and support teams in making informed, ethical decisions.
You learn how to identify risks, evaluate AI policies, structure responsible initiatives and communicate the value and necessity of RAI in clear, practical terms.
You start with a 1-hour on-demand eLearning module in SAFe Studio. This introduces the foundations of Responsible AI and prepares you for the workshop.
Key elements:
The live session focuses on applying RAI concepts through practical exercises and group activities.
Key elements:
You leave with actionable tools you can apply directly in your team or organization.
Key elements:
After completing the eLearning and the facilitated workshop, you earn the Achieving Responsible AI with SAFe Micro-credential from Scaled Agile, Inc.
This confirms your understanding of Responsible AI principles, SAFe alignment and your ability to guide AI initiatives in a transparent and ethical way.
This course is ideal for professionals involved in shaping or supporting AI initiatives, such as Product Owners and Product Managers, Scrum Masters and Release Train Engineers, Agile practitioners and team leads, compliance, governance and risk managers, and anyone responsible for guiding responsible AI decisions.
No technical background is required.
There are no formal prerequisites.
Basic familiarity with Agile ways of working is helpful but not required.
All necessary tools, templates and examples are provided.

At Gladwell Academy we offer all our courses as an in-house training as well, tailored to your organization’s goals, challenges, and context.
Effective collaboration, faster results and immediate applicability.
In-House training is ideal for organizations that want to grow together.
Enhance your team now!
Responsible AI refers to applying transparency, accountability and ethical principles to AI work. This course explains how SAFe supports these practices with clear structures and decision patterns.
No. The course is accessible for professionals with or without technical AI experience. The focus is on practical decision-making, not engineering.
You leave with stakeholder maps, policy evaluation skills, an RAI Epic Hypothesis Statement and clear guidance for supporting AI initiatives responsibly.
Yes. The course helps you evaluate existing practices, identify risks and introduce clearer governance and communication across teams.
Yes — you use tools like ChatGPT or SAFe CoPilot during activities, but the goal is to build responsible decision-making skills, not tool-specific expertise.
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