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 Duration 14 hours

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.

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