Applying AI Across the Project Lifecycle

This two-day, hands-on workshop guides participants through the entire project lifecycle, putting AI into practice to accelerate and enhance every stage from initiation to closeout. Each module follows a consistent arc: Defining why a project stage is challenging, identifying where AI adds value (and where it does not), demonstrating a working prompt, and completing a hands-on lab to produce a tangible project artifact.

Roughly two-thirds of instructional time is spent in labs, and every participant leaves with a personal prompt library and a scheduled AI adoption plan.

How You Will Benefit

Work more efficiently by identifying where AI can reduce time and effort across project management activities
Make better-informed decisions about when to use AI and when human judgment is essential
Increase confidence using AI as a practical project management assistant
Improve the consistency and quality of project work while maintaining professional accountability
Apply AI responsibly within your organization’s policies, processes, and working environment

What You Will Learn

Understand what a large language model does and identify the project tasks where its output cannot be trusted without review
How to write and iteratively refine prompts that produce usable project artifacts rather than generic text
Experience drafting a one-page AI usage policy covering confidentiality, data handling, disclosure, and accountability
Master producing a charter, scope statement, schedule, risk register, and closeout report with AI assistance, and critique each for the failure modes AI introduces
Build a personal prompt library and a scheduled 30/60/90-day adoption plan

Who Should Attend

This workshop is designed for Project and Program managers, PMO staff, and project team leads. No technical background is required. No prior AI experience is needed.

To participate fully in the hands-on exercises, participants should:

Have access to an AI tool approved by their organization or IT/compliance team.

Because participants will work with AI tools during the course, they should follow their organization's policies regarding confidential, proprietary, personal, or otherwise sensitive information.

Format

Virtual Classroom: 2 days of web-based eLearning with a live instructor. To help assimilate the tools and techniques learned, there is a mixture of individual and group exercises throughout the course. Students need to be prepared for a high level of participation.