Artificial Intelligence

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Target Audience

Individuals who will benefit from this course include:

• Project managers seeking to integrate AI tools into their day-to-day practice
• Experienced PMs looking to modernize their toolkit and stay competitive
• Project team members who collaborate on project activities
• Leaders and stakeholders working in AI-adjacent or AI-adopting organizations

Learning Objectives

• Describe the current AI landscape and its implications for project management.
• Evaluate where AI tools add the most value on projects.
• Use AI to draft, refine, and analyze core project documents.
• Construct effective prompts for common PM tasks and critically evaluate AI-generated outputs.
• Apply AI to support problem solving and conflict resolution scenarios.
• Identify the risks, limitations, and ethical considerations of AI use in project environments.
• Develop a personal action plan for integrating AI tools into their project practice.

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Course Outline

Introduction

• Participant Introductions
• Course Overview and Objectives
• Discussion: Your Experience with AI Tools
• Setting the Stage
  • AI Strengths and Weaknesses
  • Where Human Judgment Is Irreplaceable

AI and the Project Management Landscape

• Key AI Concepts Every PM Should Know
  • Artificial Intelligence, Large Language Models, Generative AI, and Prompt Engineering
• Crafting Effective Prompts for PM Tasks
  • Anatomy of a Good Prompt: Context, Role, Constraints, Output Format
  • Iteration and Refinement — AI as a Thinking Partner
  • Centaur and Cyborg
• Exercise: Practice with prompting
• Where AI Can Help on Projects
• The State of AI in the Workplace: What’s Here Now

AI-Assisted Project Start-Up

• Revisiting the Project Charter in the Age of AI
  • Exercise: Generate a Project Charter Draft
• Stakeholder Identification and Analysis with AI Support
  • Exercise: Create a Stakeholder Register
• Benefits and Limitations in Project Start-Up

AI-Powered Planning

• Scope Definition and Work Breakdown Structure
• Communication Planning
  • Exercise: Draft a Stakeholder Communication Plan
• Risk Identification and Analysis
  • Exercise: Build a Risk Register
• Benefits and Limitations in Project Planning

AI Use for Managing the Project

• Meeting Prep and Follow-Up
  • AI-generated Agendas, Action Item Capture, and Meeting Summaries
• Status Reporting and Progress Summaries
  • Turning Raw Project Data into Stakeholder-Ready Narratives and Graphs
  • Exercise: Create a Status Report
• Monitoring Trends and Flagging Issues: What AI Can Surface
• Benefits and Limitations for Managing

Leading with AI

• Decision Support
  • Crafting a Prioritization Matrix
• Problem Solving and Conflict Management
  • Exercise: Role-Playing a Challenging Conversation
• AI Analysis for Mood and Tone
• Benefits and Limitations for Leading

Risks and Leading Responsibly

• What AI Gets Wrong — and Why It Matters for PMs
  • Hallucinations, Confident Errors, and Outdated Information
  • The Danger of Uncritical Acceptance
• Bias in AI Outputs and What to Watch For
• AI and Team Dynamics
  • How AI Use Affects Team Engagement, Skill Development, and Morale
  • When Not to Use AI (Sensitive Conversations, Personnel Issues, Sponsor Negotiations)
• Ethical Considerations: Confidentiality, Data Privacy, and What Not to Share with AI
• Organizational and Ethical Considerations
  • Data Privacy, IP Ownership of AI-Generated Content, Vendor Lock-In
  • Emerging AI Governance Frameworks and PMO Policy Considerations
• The Augmented PM: Reframing Your Role
  • Fine-Tuning and Iterating with AI
• The Future PM Skill Set: What to Develop, What AI Won’t Replace
• Discussion: Your Comfort Level and Open Questions

Course Wrap-Up

• Course Summary
• Individual Application: Action Planning
  • Where will you try AI first in your project work?
  • What do you need to learn more about?
  • What guardrails will you put in place?
• Q&A and Closing

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For full program details, contact info@corpedgroup.com or request information online.

MDV803 Course Code