# AI for Project Management Course Canonical URL: ## Overview This course introduces students to the practical application of Artificial Intelligence (AI) in project management. Participants explore how AI technologies, including natural language processing, machine learning, and generative AI, can enhance project planning, execution, and oversight. Through real-world examples and interactive exercises, the course demonstrates how AI can streamline activities such as risk assessment, scheduling, reporting, and stakeholder communication. It also examines the limitations, ethical considerations, and compliance requirements associated with AI use in professional environments. ## What you'll learn - 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. ## Curriculum #### 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 ## Schedule - Jun 30, 2026 9:00am–4:30pm — Live Online - Jul 30, 2026 9:00am–4:30pm — Live Online - Aug 25, 2026 9:00am–4:30pm — Live Online - Sep 23, 2026 9:00am–4:30pm — Live Online - Oct 26, 2026 9:00am–4:30pm — Live Online - Nov 23, 2026 9:00am–4:30pm — Live Online - Dec 18, 2026 9:00am–4:30pm — Live Online ## Pricing **Tuition:** $899