This course is designed to introduce federal workers to the practical use of Artificial Intelligence (AI) in project management. Participants will learn how AI tools—such as natural language processing, machine learning, and generative AI—can support project planning, execution, and monitoring. Through real-world government examples and hands-on activities, the course highlights how AI can streamline tasks like risk analysis, scheduling, reporting, and stakeholder communication. The course also addresses the limitations, ethical considerations, and compliance issues relevant to AI use in federal project environments.
Target Audience
This course is designed for federal employees across all agencies and job functions who are new to artificial intelligence.
Prerequisite
A practical overview of how artificial intelligence can be utilized to positively impact project management success by demystifying artificial intelligence and providing practical steps for incorporating AI into project processes.
What You'll Learn at a Glance
- Define artificial intelligence and its core concepts, including natural language processing, machine learning, and generative AI, in the context of project management.
- Explain how AI tools can enhance project planning, scheduling, risk management, reporting, and stakeholder communications.
- Apply real-world examples of AI use in federal project environments to improve efficiency and decision-making.
- Identify ethical, legal, and compliance considerations, including bias, privacy, transparency, and federal AI guidelines, that impact AI adoption.
Course 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
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
