This SAFe Micro-credential course is designed to equip Agile professionals with the skills to implement AI responsibly in their teams and organizations.
This course 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.
Participants should have attended either Implementing SAFe or Leading SAFe training.
This course utilises the Miro collaboration tool, therefore it is advised learners are able to access Miro to gain full advantage. A personal device is highly recommended
This course is designed for SPCs, RTEs, and Agile Coaches.
Self-paced, on-demand eLearning (1 hour)
The eLearning module provides a comprehensive introduction to 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.
Dynamic 4-hour facilitated session
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.
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.
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.
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.
Learners are evaluated through knowledge checks, interactive in-course activities, and participation during the live facilitated session. Successful completion awards the SAFe Micro-credential badge.
Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.