AI-Powered Project Management
Overview
Project managers spend much of their time on planning, reporting and chasing updates. This course shows how AI can support every phase of a project, from scoping and scheduling to risk identification, status reporting and lessons learned, so project managers can focus on people and decisions.
Who should attend
Project and programme managers, PMO staff, project coordinators, and team leaders.
Training methodology
Interactive presentations, live demonstrations of AI tools, hands-on exercises using participants' own work examples, case studies, group discussion, and a personal action plan.
Objectives
By the end of this course, participants will be able to:
- Use AI to draft project charters, plans and schedules
- Identify and assess risks with AI support
- Automate status reporting and stakeholder updates
- Use predictive insights on cost and schedule
- Apply AI responsibly within project governance
Course outline
Day 1AI and the Project Lifecycle
- Where AI fits in each phase
- AI features in project tools
- Limits and risks
- Opportunity mapping
- Data from past projects
- Choosing tools
Day 2Initiation and Planning
- Drafting charters and scope
- Work breakdown with AI
- Estimating and scheduling
- Planning exercise
- Resource planning
- Plan review checklist
Day 3Risk and Issue Management
- AI-assisted risk identification
- Learning from past projects
- Early warning signals
- Risk workshop
- Issue logs and escalation
- Contingency planning
Day 4Monitoring and Reporting
- Automated status reports
- Predicting delays and overruns
- Stakeholder communication
- Dashboard exercise
- Meeting minutes and actions
- Earned value with AI support
Day 5Closing and Improving
- Lessons learned with AI
- Knowledge management
- Governance of AI in the PMO
- Action plan
- Benefits review
- Skills for future project managers
