AI-Era Project Governance Bootcamp (Taipei)
AI-Era Project Governance Bootcamp is an intensive hands-on program designed for project managers, PMO professionals, business managers, and cross-functional team leaders who want to integrate AI into real project management workflows. In the age of AI, the key challenge is no longer simply knowing how to use ChatGPT. The real value lies in turning AI into a practical project governance co-pilot that helps teams clarify requirements, structure work, track decisions, manage risks, and produce reliable project documents. This course is designed as a small-group practical workshop. Participants are encouraged to bring real projects from their own work environment and use Generative AI, ChatGPT, Claude, and structured AI workflows to build a complete AI-assisted project management document package. By the end of the course, participants will not simply complete classroom exercises. They will walk away with a practical AI-enabled project management SOP that can be directly applied in their workplace to improve project visibility, communication quality, governance discipline, and decision-making efficiency.
Course Outline
Session 1｜AI-Assisted Project Initiation and Project Plan Generation
Participants will learn how to use Generative AI to clarify project background, objectives, scope, stakeholders, and initial deliverables, transforming scattered project information into a usable project initiation framework.
Key Learning Areas: Project background analysis, objective definition, scope clarification, stakeholder mapping, and AI-assisted project plan generation.
Class Output: An AI-assisted project management plan template.
Session 2｜AI Workflow for WBS Breakdown and Schedule Planning
Participants will learn how to use ChatGPT and Claude collaboratively to break down project goals into a structured WBS, then develop task lists, milestones, and schedule plans.
Key Learning Areas: WBS development, task structuring, milestone planning, scheduling logic, and ChatGPT-Claude workflow collaboration.
Class Output: A complete AI-assisted WBS and schedule planning workflow.
Session 3｜AI-Assisted Resource Estimation and Risk Management
Participants will learn how to apply AI to support resource allocation, cost estimation, risk identification, risk analysis, and response strategy development.
Key Learning Areas: Resource planning, cost estimation, risk identification, risk analysis, risk response planning, and Earned Value Management concepts.
Class Output: A practical risk register and an EVM management framework.
Session 4｜Meeting Collaboration, Project Dashboard, and Closure Report
Participants will learn how to build an AI-assisted meeting summary process, action-item tracking mechanism, project status dashboard, and AI-enhanced project closure report.
Key Learning Areas: Meeting summaries, action tracking, project dashboard design, progress reporting, and project closure report optimization.
Class Output: A meeting tracking workflow, project status dashboard, and project closure report.
