Claude AI for Project Management Training in Copenhagen, Denmark

The Claude AI for Project Management Training is a practical, role-focused program designed to help project managers, program managers, PMOs, and team leads use Claude AI to plan projects, improve communication, manage risks, and enhance decision-making.

The course emphasizes real-world project workflows, showing how Claude can be used as a project copilot for documentation, scheduling, reporting, stakeholder communication, and continuous project optimization.

Introduction to AI in Project Management

• Role of AI in modern project management

• Where Claude fits in the PM lifecycle

• AI as a project copilot, not a replacement

• Benefits and limitations of AI in projects

Claude AI Platform Overview

• What is Claude and how it works

• Key capabilities for project work

• Working with documents and long context

• Privacy, security, and responsible usage basics

AI-Assisted Project Initiation

• Creating project charters with Claude

• Defining scope and objectives

• Stakeholder identification and analysis

• Business case and justification support

Project Planning with Claude

• Work Breakdown Structure (WBS) generation

• Schedule and milestone planning

• Resource planning and workload analysis

• Dependency identification and sequencing

Risk, Issue & Change Management

• Identifying project risks using AI

• Qualitative risk analysis and prioritization

• Issue log and escalation support

• Change request impact analysis

Communication & Stakeholder Management

• Drafting stakeholder communications

• Status updates and executive summaries

• Meeting agendas and minutes

• Tailoring communication for different audiences

Reporting & Performance Tracking

• AI-assisted status reports

• KPI and milestone tracking narratives

• Variance explanation and insights

• Management and steering committee reporting

Decision Support for Project Managers

• Scenario comparison and trade-offs

• Resource and schedule alternatives

• Risk-based decision analysis

• Supporting data-driven PM decisions

Agile & Hybrid Project Support

• User stories and backlog refinement

• Sprint planning assistance

• Retrospective summaries and insights

• Hybrid delivery documentation support

Governance, Compliance & Ethics

• Using AI in regulated environments

• Protecting sensitive project information

• Audit trails and documentation integrity

• Ethical use of AI in project decisions

Productivity Workflows for PMOs

• Standard templates with Claude

• Automating recurring PM tasks

• Knowledge base and lessons learned

• PMO process optimization with AI

Hands-on Exercises

Summary and Conclusion