This micro-credential teaches product leaders how to leverage AI to optimize release cycles, intelligently prioritize backlogs, forecast delivery risks, and create more resilient, data-driven product roadmaps.
AI can process complex variables—such as estimated effort, customer value, and technical dependencies—and suggest objective prioritization rankings using frameworks like WSJF, RICE, or MoSCoW.
Yes. You will learn how to prompt AI to analyze historical team velocity and capacity data to generate more accurate, reliable forecasts for upcoming sprints and Program Increments.
This course is critical for Product Owners, Release Train Engineers (RTEs), Scrum Masters, and Delivery Managers who are responsible for planning agile iterations and managing complex delivery schedules.
Absolutely. We teach you how to train your AI models to automatically apply these standard prioritization frameworks to your unrefined backlog, saving you hours of manual sorting.
A basic understanding of agile planning ceremonies (like Sprint Planning or PI Planning) is recommended, but there are no strict technical or coding prerequisites required to attend.
No. Certification is awarded based on your active participation in the live 3-hour session and your successful completion of the hands-on AI planning exercises.
By analyzing past project data and identifying hidden dependencies across multiple teams, AI can flag potential bottlenecks and delivery risks long before they impact the release schedule.
No. This credential is valid for life and does not require annual renewal fees.
Yes. A key skill taught in this course is using AI to take a high-level user story and instantly generate robust, edge-case-tested acceptance criteria in standard BDD (Given/When/Then) format.