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Course Outline

Module 1: Artificial Intelligence Foundations for Project Managers

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

Module 2: Prompt Engineering for Project Management

Subtopics:
Fundamentals of prompt design
Techniques: zero-shot, few-shot, and role-based prompting
Structuring prompts specifically for project management tasks
Evaluating and refining AI responses
Practical exercises involving prompt creation for project scenarios

Module 3: Artificial Intelligence in Project Initiation

Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Automating stakeholder analysis processes
Leveraging AI to identify early-stage project risks
Evaluating AI-generated outputs for accuracy and completeness

Module 4: Artificial Intelligence in Planning and Scheduling

Subtopics:
AI-generated Work Breakdown Structures (WBS)
Developing milestone plans and project timelines
AI-assisted estimation techniques
Sourcing resource allocation suggestions from AI
Refining planning outputs through structured prompts

Module 5: Artificial Intelligence in Risk and Issue Management

Subtopics:
Predictive risk analysis using AI
Generating risk registers based on project descriptions
AI-assisted issue classification and triage
Formulating mitigation strategies with AI support
OgANizing risk information via tables and structured prompts

Module 6: Artificial Intelligence in Stakeholder Communication

Subtopics:
Automating project reporting mechanisms
Creating executive summaries from project data
Adjusting tone and communication style for diverse stakeholders
Translating technical details into business-friendly updates
Managing sensitive communications with AI assistance

Module 7: Artificial Intelligence Ethics and Governance in Projects

Subtopics:
Recognising AI bias and hallucination risks
Ethical use of AI in professional settings
Data privacy considerations and GDPR compliance
Establishing AI usage policies within project teams
Practicing 'human-in-the-loop' validation techniques

Module 8: Artificial Intelligence Tools for Project Managers and Adoption Strategy

Subtopics:
Leveraging Microsoft Copilot across Word, Excel, Teams, and Outlook
Guidelines for choosing between Copilot, ChatGPT, or other AI tools
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Formulating a personal AI action plan for daily project work

Requirements

Participants are expected to possess foundational experience in project environments or working within project teams. While not mandatory, familiarity with core project management principles—such as planning, risk management, and stakeholder communication—is highly recommended.

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

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