Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Understanding Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and traditional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of how AI tools generate and interpret text
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Structuring prompts specifically for project management tasks
Evaluating and refining AI-generated responses
Practical exercises in writing prompts for various project scenarios
Module 3: AI in Project Initiation
Subtopics:
AI-assisted drafting of project charters
Generating project objectives and scope statements
Automating stakeholder analysis processes
Identifying early-stage project risks with AI support
Evaluating AI-generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) using AI
Creating milestone plans and project timelines
Applying AI-assisted estimation techniques
Generating suggestions for resource allocation
Refining planning outputs through structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Generating risk registers from project descriptions
Classifying and triaging issues with AI assistance
Developing mitigation strategies supported by AI tools
Structuring risk information using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating the project reporting process
Generating executive summaries from project data
Adapting tone and communication style for different stakeholder groups
Transforming technical details into business-friendly updates
Managing sensitive communications with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Understanding risks associated with AI bias and hallucination
Practicing responsible AI use in professional settings
Addressing data privacy considerations and GDPR context
Defining AI usage policies within project teams
Implementing human-in-the-loop validation practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI tools
Comparing various AI tools for project management support
Building an AI adoption roadmap for project teams
Developing a personal AI action plan for project work
Requirements
Participants are expected to possess foundational experience in project settings or team environments. While not mandatory, a working knowledge of core project management principles—such as planning, risk management, and stakeholder communication—is highly beneficial.
No prior familiarity with Artificial Intelligence tools is required to participate.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
