AI Components & the PMI Certifications
Core Sessions
The first three sessions form the foundation of the series and are designed to be delivered in sequence.
Session 3 — AI Components & the PMI Certifications
Core · 1 hour
Project managers do not need to abandon their fundamentals to lead AI work — they need to see how AI maps onto the disciplines they already practice. This session connects the components of an AI initiative to the PMI Talent Triangle (Ways of Working, Power Skills, and Business Acumen) and to the PMI credential landscape, including CPMAI, PMP, PMI-PBA, PMI-ACP, and PgMP.
Attendees will see where their existing skills already apply, where AI introduces genuinely new considerations, and how to plan a continuous-growth path that keeps them relevant. The session grounds AI delivery in project management fundamentals — scope, risk, stakeholders, resources, and value — so that an AI project feels less like foreign territory and more like a familiar discipline with new tools.
Participants will be able to:
- Map the components of an AI initiative to the PMI Talent Triangle and to the relevant PMI certifications.
- Identify where existing project management fundamentals apply directly to AI work, and where new competencies are required.
- Plan a personal continuous-growth path for leading AI projects, anchored in recognized PMI frameworks.
About the Series Cutting Through the Noise: An AI Learning Series for Project Professionals
Artificial intelligence is moving from headline to job requirement. Project managers are increasingly being asked to scope, sponsor, govern, and deliver initiatives that include an AI component — often before they have had a chance to build a grounded understanding of what these initiatives actually involve. The result is a familiar pattern: high expectations, a great deal of noise, and projects that stall because the conversation never moved past the hype.
This proposal outlines a progressive learning series designed specifically for the project professional. Rather than treating AI as a technology lecture, the series builds awareness, then literacy, then practical competence — always anchored in the project management fundamentals and PMI frameworks the chapter’s members already trust. The goal is not to turn PMs into data scientists. It is to help them recognize an AI opportunity, ask the right questions, align stakeholders, and lead the delivery of AI capabilities that produce measurable organizational value.
The series is structured as three core sessions that establish a shared foundation, a set of optional deep-dive sessions the chapter can select from based on member interest, and a capstone full-day workshop. Sessions are modular: the chapter can run the full program or select the pieces that best fit its calendar and audience.
Speakers
