Workshop: AI for Project Managers (AIW-PM50)

This workshop is designed for project managers who want to use AI tools to plan more effectively, communicate more clearly, and spend less time on documentation. No technical background is required. Participants will learn how to apply AI to the work that fills a project manager's day: drafting project charters and status updates, summarizing meeting notes, building out work plans, and communicating with stakeholders and team members. The course is tool-agnostic and can be delivered using whichever AI platform your organization already uses, including ChatGPT, Claude, Copilot, or Gemini. Examples throughout the course are drawn from real project management workflows.

By the end of the session, participants will be able to use AI tools with confidence across the project lifecycle. The workshop closes with a hands-on case study that walks through a realistic project scenario from initiation through communication. Case studies can be customized to reflect your organization's industry, project types, and delivery methods. This course is taught from a tool-usage perspective and does not cover project management methodology, certification preparation, or organizational governance. Participants should continue to rely on established PM frameworks and their organization's processes for those areas.

1. AI and the Project Manager
   1. What AI tools can and cannot do
   2. How project managers are using AI today
   3. A tour of the AI platform being used in this workshop
2. Writing Effective Prompts for Project Management Work
   1. The anatomy of a strong prompt
   2. Prompting for planning, documentation, and communication
   3. Iterating: refining outputs through conversation
3. Responsible Use in a Project Management Context
   1. How hallucinations happen and how to catch them
   2. Treating AI as a drafting tool, not a decision-maker
   3. Building a verification habit for project outputs
4. AI for Project Management Workflows
   1. Drafting project charters, plans, and work breakdowns
   2. Summarizing meeting notes and surfacing action items
   3. Writing and refining stakeholder communications and status updates
   4. Brainstorming risks, dependencies, and mitigation strategies
5. Case Study: AI in Action for Project Managers
   1. Scenario overview and objectives
   2. Applying prompting techniques to a project workflow
   3. Reviewing, verifying, and refining AI outputs
   4. Discussion: adapting this approach to your organization

Each student receives a comprehensive set of materials, including course notes and all class examples.