Overview
Achieving Responsible AI is a SAFe Micro-credential course designed to equip Agile professionals with the skills to implement Responsible AI in their organizations. This course is a blended learning experience that combines a one-hour self-paced eLearning module with a half-day facilitated session focused on practical applications and real-world scenarios. Participants will learn to identify key stakeholders, evaluate RAI policies, draft Epic hypothesis statements, and create actionable plans for continuous improvement in Responsible AI practices.
Achieving Responsible AI will make you stand out as a leader in implementing responsible AI by providing hands-on experience and practical skills that ensure your AI projects are transparent, accountable, and aligned with human values.
Through immersive learning and practical activities, you’ll develop the capability to ensure your AI systems are fair, transparent, and accountable.
What to expect before, during, and after your course?
Before
Complete 1 hour eLearning
Before your facilitated session, you must complete the associated eLearning in SAFe Studio. This eLearning provides the perfect preparation for your facilitated session & is required to earn your Micro-credential.
During
Engage in a dynamic 4-hour facilitated session
During your live session, a facilitator will help guide you and your classmates through a variety of activities and workshops designed to not only provide knowledge but provide practical applications of what you learn.
After
Immediately apply your knowledge
Upon completing your eLearning and facilitated session, you will be instantly ready to apply your knowledge in your unique setting.
Reserve Your Seat
$649 (USD)
Standard Delivery: 4 hours of instruction
GSA: $473.77 USD
Next Upcoming Course
There are currently no scheduled classes for this course.
Train up your teams with private group training
Have a group of 5 or more students? Cprime also provides specialist private training with exclusive discounts for tailored, high-impact learning.
Achieving Responsible AI Schedule
Delivery
Date
Price
Reserve your seat
There are currently no scheduled classes for this course. Please contact us if you would like more information or to schedule this course for you or your company.
Full Course Details
Self-paced, on-demand eLearning (1 hour)
The eLearning module comprehensively introduces Responsible AI, covering foundational concepts and their alignment with SAFe practices. The eLearning includes several pre-work assignments intended to fully prepare students for the facilitated session — including researching current RAI practices in your organization, reviewing example policies, and ensuring access to a generative AI tool for practical exercises.
Activity 1 – Identifying Stakeholders (~30 minutes)
As future change agents and advocates for RAI, one of the first and most important tasks is to think about the people in an organization who would need to be involved in implementing RAI, what their responsibilities would be, as well as their top concerns. Learners will leave this activity with an actionable stakeholder map for future initiatives.
Activity 2 – Evaluating RAI Policies (~25 minutes)
Get hands-on experience using GenAI applications such as SAFe CoPilot and ChatGPT to apply critical thinking to an example set of policy elements in an RAI plan, identifying improvements needed for organizational fit.
Activity 3 – Communicating the Need for RAI (~30 minutes)
Become empowered to effectively communicate the need for Responsible AI (RAI), the goals of an RAI initiative, and the alignment of an RAI initiative with organizational objectives through a concise “elevator pitch” activity.
Activity 4 – Writing an RAI Epic Hypothesis Statement (~35 minutes)
Practice identifying an actionable element of an RAI implementation that requires a significant effort by one or more Value Streams, and scoping that effort using a SAFe Epic hypothesis statement.
- No formal prerequisites or eligibility criteria are needed for the SAFe® Agilist certification.
- Cprime would recommend that you have experience and familiarity with Agile practices.
- What Responsible AI (RAI) is and why it’s important
- How to identify how the Core Values and SAFe Principles enable an organization to apply Responsible AI
- How to incorporate Responsible AI into portfolio strategy and LPM
- How to explain the impact of Responsible AI Solutions on ARTs and teams
- How to create a consolidated action plan you can take with you to get started with Responsible AI