Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

A large share of a project manager's time goes into reports, meeting notes, plan updates and follow-up messages. This programme shows how to use generative AI tools across the project life cycle: drafting scope and WBS, risk identification, meeting summaries and action extraction, status reporting, stakeholder communication, plus built-in AI features and simple automations in Jira, Asana and Microsoft 365 Copilot.

Verification, confidentiality and data protection limits are addressed in every exercise. Participants design a prompt library and an AI-assisted weekly reporting flow for their own projects.

Who Should Attend?

  • Project and programme managers, PMO teams
  • Scrum Masters, Product Owners and team leads
  • Business staff who coordinate projects
  • Basic project management knowledge and access to an AI assistant are sufficient

Key Takeaways

  • Quickly generate and verify charter, WBS and risk list drafts with AI
  • Extract summaries, decisions and action items from meeting recordings
  • Produce executive-level status reports from project data
  • Configure AI features and automation rules in project tools
  • Apply safe-use rules for confidential project data

Curriculum

Generative AI in Project Management: Opportunities and Limits
  • Which tasks suit AI and which require human judgement
  • Hallucination, verification and confidentiality rules
Planning: Scope, WBS and Schedule Drafts
  • Prompt patterns for charters and WBS
  • Using AI for duration estimates and dependency checks
Risk, Decision and Stakeholder Analysis
  • Risk identification and pre-mortem with AI
  • Tailoring stakeholder messages to the audience
Meetings, Reporting and In-Tool AI
  • Meeting summaries and action extraction with Teams and Copilot
  • Jira and Asana AI features, automation rules
Personal AI Workflow Workshop
  • Building a prompt library
  • Designing an AI-assisted weekly status report flow

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