AI for Project Management

Module 1: AI 101 for Project Managers

• Define artificial intelligence and distinguish narrow vs. general AI
• Introduce core concepts: natural language processing (NLP), machine learning (ML), and generative AI
• Debunk common myths and set realistic expectations for AI capabilities and limits

Module 2: Why AI for Project Management

• Examine how AI is changing the modern workplace and project environments
• Map AI-enabled skills to PMI’s Talent Triangle® (Ways of Working, Power Skills, Business Acumen)
• Identify future-readiness steps for managing projects alongside AI tools

Module 3: AI Applications for Project Management — Planning

• Use AI to clarify project charters, scope statements, and WBS drafts
• Leverage AI for requirements gathering, stakeholder analysis, and risk identification prompts
• Apply AI-assisted estimation and scenario exploration to inform baselines

Module 4: AI Applications for Project Management — Scheduling, Risk, & Communications

• Generate schedule drafts, dependencies, and what-if analyses with AI assistants
• Strengthen risk analysis with pattern detection, probability cues, and mitigation optioning
• Enhance reporting and stakeholder communications with AI-written summaries and visuals

Module 5: Ethical, Legal, and Practical Considerations

• Address bias, privacy, transparency, and data provenance in federal contexts
• Define appropriate human-in-the-loop controls and oversight
• Align usage with federal AI guidance, policies, and compliance requirements

Module 6: Preparing for AI Integration

• Create a strategy for selecting, piloting, and scaling AI use cases
• Develop a communication plan for stakeholders, leadership, and teams
• Incorporate change management, training, and governance into rollout plans