Course Outline
Module 1: AI Fundamentals for Project Managers
Subtopics: Comprehending Large Language Models (LLMs) Core AI concepts: prompting, hallucination, and context Distinguishing AI systems from conventional automation Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot) Demonstrations of text generation and interpretation using AI tools
Module 2: Prompt Engineering for Project Management
Subtopics: Basics of prompt design Techniques for zero-shot, few-shot, and role-based prompting Tailoring prompts for specific project management tasks Evaluating and optimizing AI responses Practical exercises involving prompt creation for real-world project scenarios
Module 3: AI in Project Initiation
Subtopics: AI-assisted drafting of project charters Generating project objectives and defining scope statements Automating the analysis of stakeholders Identifying initial project risks with AI support Assessing the accuracy and completeness of AI-generated deliverables
Module 4: AI in Planning and Scheduling
Subtopics: Generating Work Breakdown Structures (WBS) with AI Developing milestone plans and project schedules Applying AI-assisted estimation methods Creating suggestions for resource allocation Refining planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics: Conducting predictive risk analysis with AI Creating risk registers based on project descriptions Classifying and triaging issues with AI assistance Formulating mitigation strategies supported by AI Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics: Streamlining project reporting through automation Creating executive summaries from raw project data Adjusting tone and style to suit various stakeholder audiences Converting technical details into business-friendly updates Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics: Recognizing risks associated with AI bias and hallucination Practicing responsible AI usage in professional settings Considering data privacy and GDPR implications Establishing AI usage policies within project teams Implementing 'human-in-the-loop' validation protocols
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 platforms Comparing various AI tools for project management support Constructing an AI adoption roadmap for project teams Creating a personalized AI action plan for professional project work
Requirements
Prospective participants are expected to possess foundational experience in project management or team-based project settings. A general grasp of core project management principles—such as planning, risk assessment, and stakeholder communication—is advised.
Previous hands-on experience with Artificial Intelligence tools is not a prerequisite for this course.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.