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Course Outline

Module 1: Fundamentals of AI for Project Managers

Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinctions between AI systems and traditional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Illustration of how AI tools generate and interpret text

Module 2: Prompt Engineering for Project Management

Subtopics:
Fundamentals of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Optimizing prompt structures for project management assignments
Methods for evaluating and refining AI responses
Hands-on exercises focused on drafting prompts for various project scenarios

Module 3: Leveraging AI in Project Initiation

Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Simplifying stakeholder analysis through AI
Utilizing AI to identify early-stage project risks
Assessing AI-generated outputs for precision and thoroughness

Module 4: AI in Planning and Scheduling

Subtopics:
AI-generated Work Breakdown Structures (WBS)
Developing milestone plans and project timelines
Estimation techniques supported by AI
Obtaining resource allocation recommendations from AI
Improving planning outputs through structured prompting

Module 5: AI in Risk and Issue Management

Subtopics:
Predictive risk analysis utilizing AI
Creating risk registers based on project descriptions
AI-assisted issue classification and triage
Crafting mitigation strategies with AI support
Organizing risk information using tables and structured prompts

Module 6: AI in Stakeholder Communication

Subtopics:
Automating project reporting processes
Producing executive summaries from project data
Tailoring tone and communication style for diverse stakeholders
Translating technical details into business-friendly updates
Handling sensitive communications with AI assistance

Module 7: Ethics and Governance of AI in Projects

Subtopics:
Recognizing risks related to AI bias and hallucination
Principles of responsible AI use in professional settings
Data privacy concerns and GDPR compliance context
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation practices

Module 8: AI Tools for Project Managers and Adoption Strategies

Subtopics:
Leveraging Microsoft Copilot across Word, Excel, Teams, and Outlook
Selecting between Copilot, ChatGPT, and other AI tools based on need
Evaluating various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Formulating a personal action plan for integrating AI into project work

Requirements

Participants are expected to possess foundational experience working in project settings or project teams. While not mandatory, familiarity with core project management principles—including planning, risk management, and stakeholder communication—is advisable.

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

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