A practical introduction to using artificial intelligence to enhance project management outcomes, breaking down complex AI concepts and outlining actionable steps for integrating AI into everyday project workflows.
Overview
Syllabus
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