ChatGPT for Project Management Training in Copenhagen, Denmark

The ChatGPT for Project Management Training is a practical, role-focused program designed to help project managers, PMOs, team leads, and coordinators use ChatGPT to plan, track, communicate, and document projects more efficiently.

The course shows how ChatGPT can act as a project management copilot for planning, reporting, risk management, stakeholder communication, and day-to-day project operations—while maintaining human control and governance.

Introduction to AI in Project Management

• Role of AI in modern project management

• Where ChatGPT fits in the PM lifecycle

• Benefits and limitations of AI for PMs

• Human oversight and accountability

Getting Started with ChatGPT for PMs

• ChatGPT basics for project work

• Appropriate PM use cases

• Understanding accuracy and risks

• Best practices for PM users

Project Initiation with ChatGPT

• Creating project charters

• Defining scope and objectives

• Stakeholder identification and analysis

• Business case and justification drafts

Project Planning & Scheduling Support

• Work Breakdown Structure (WBS) generation

• Task sequencing and dependencies

• Milestones and high-level schedules

• Resource planning narratives

Risk, Issue & Change Management

• Identifying project risks with AI

• Creating and maintaining risk registers

• Issue logs and escalation drafts

• Change request impact summaries

Communication & Stakeholder Management

• Drafting stakeholder updates

• Executive summaries and steering reports

• Tailoring communication for audiences

• Meeting agendas and follow-ups

Status Reporting & Performance Tracking

• Weekly and monthly status reports

• Variance explanations (schedule/cost)

• KPI and milestone narrative summaries

• Management-ready reporting

Decision Support for Project Managers

• Scenario comparison and trade-offs

• Resource and schedule alternatives

• Risk-based decision narratives

• Supporting data-driven discussions

Agile & Hybrid Project Support

• User stories and backlog refinement

• Sprint planning assistance

• Retrospective summaries

• Hybrid delivery documentation

Documentation & Knowledge Management

• Lessons learned documentation

• Project repositories and wikis

• SOPs and templates for PMOs

• Standardizing PM documentation

Quality, Governance & Compliance

• Documentation standards

• Audit-ready project records

• Governance and approvals support

• Responsible AI in project environments

Security, Privacy & Responsible AI

• Handling confidential project data

• What not to share with AI

• Data protection best practices

• Organizational AI policies

Hands-on Exercises

Summary and Conclusion