Achieving Responsible AI with SAFe

AI Mastery Series
course
AI brings opportunity — and responsibility. Many organizations want to innovate with AI, but lack clear guidance on how to ensure transparency, accountability and alignment with human values. Achieving Responsible AI with SAFe gives you a practical, structured approach to applying Responsible AI principles within Agile teams and real-world delivery environments.
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In-House Training

Would you like to train several colleagues at the same time? Our In-House trainings are already available for groups starting from 5 participants, tailored to your organization's needs.

About

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.


Objectives

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.


Programme

Before the course — eLearning preparation

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:

  • Understanding core Responsible AI concepts and SAFe alignment
  • Completing short preparation tasks using generative AI tools
  • Reviewing example policies and identifying gaps


During the course — 4-hour facilitated workshop

The live session focuses on applying RAI concepts through practical exercises and group activities.

Key elements:

  • Mapping Responsible AI stakeholders and their concerns
  • Evaluating existing RAI policies using GenAI tools
  • Communicating the importance of RAI through a clear elevator pitch
  • Writing an RAI Epic Hypothesis Statement to structure real initiatives


After the course — Immediate application

You leave with actionable tools you can apply directly in your team or organization.

Key elements:

  • Applying RAI patterns to your own context
  • Using canvases and statements to guide teams
  • Embedding RAI into ongoing Agile practices

Certification

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.

Audience

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.


Prerequisites

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.

In-House

Prefer to train a full team together?

At Gladwell Academy we offer all our courses as an in-house training as well, tailored to your organization’s goals, challenges, and context.

  • Delivered on-site, online, or in a hybrid format
  • Customized content and case studies for your team
  • Flexible scheduling – you choose the dates and location
  • Cost-effective for groups starting from just 5 participants

Effective collaboration, faster results and immediate applicability.
In-House training is ideal for organizations that want to grow together.
Enhance your team now!

FAQ

What is “Responsible AI” in the context of SAFe?

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.

Do I need experience with AI to join this course?

No. The course is accessible for professionals with or without technical AI experience. The focus is on practical decision-making, not engineering.

What will I be able to apply immediately after the training?

You leave with stakeholder maps, policy evaluation skills, an RAI Epic Hypothesis Statement and clear guidance for supporting AI initiatives responsibly.

Is this training useful if my organization already uses AI tools?

Yes. The course helps you evaluate existing practices, identify risks and introduce clearer governance and communication across teams.

Does this training include hands-on use of generative AI tools?

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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Upcoming trainings: Achieving Responsible AI with SAFe

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Feb 6

Achieving Responsible AI with SAFe

€595
Virtual workshop from 9:00 - 13:00 CET
English
Virtual, ,
Virtual workshop from 9:00 - 13:00 CET
€595
  • Virtual, ,
  • English
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May 8

Achieving Responsible AI with SAFe

€595
Virtual workshop from 9:00 - 13:00 CET
English
Virtual, ,
Virtual workshop from 9:00 - 13:00 CET
€595
  • Virtual, ,
  • English
Show more