This 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, demonstrating a working prompt, and completing a hands-on lab to produce a tangible project artifact. Roughly two-thirds of class time is spent in labs, and every participant leaves with a personal prompt library and an AI adoption plan.

Participants will learn how large language models work and identify project tasks where AI-generated output requires human review. They will practice writing and refining prompts to produce useful project artifacts, develop an AI usage policy addressing confidentiality, data handling, disclosure, and accountability, and use AI to create key project management deliverables, including a charter, scope statement, schedule, risk register, and closeout report.