Course Outline
Module 1: AI Essentials for Project Leaders
Key Areas:
Navigating Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing AI systems from conventional automation
Survey of the AI platforms featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of text generation and interpretation capabilities
Module 2: Crafting Prompts for Project Management
Key Areas:
Fundamentals of prompt architecture
Techniques including zero-shot, few-shot, and role-based prompting
Optimizing prompts for specific management tasks
Assessing and iterating on AI responses
Practical sessions: writing prompts for realistic project scenarios
Module 3: AI in the Initiation Phase
Key Areas:
Drafting project charters with AI support
Formulating objectives and defining scope
Streamlining stakeholder analysis
Identifying initial risks through AI assistance
Validating the accuracy and completeness of AI-generated documents
Module 4: AI in Planning and Scheduling
Key Areas:
Generating Work Breakdown Structures (WBS)
Developing milestone roadmaps and timelines
Applying AI-assisted estimation methods
Generating recommendations for resource distribution
Refining planning documents through structured prompting
Module 5: AI in Risk and Issue Management
Key Areas:
Conducting predictive risk analyses
Populating risk registers from project descriptions
Classifying and triaging issues with AI aid
Formulating mitigation strategies supported by AI
Organizing risk data using tables and structured inputs
Module 6: AI in Stakeholder Communication
Key Areas:
Automating routine project reports
Creating executive summaries from raw project data
Tailoring tone and style for various audience segments
Translating technical details into business-oriented updates
Handling sensitive communications with AI assistance
Module 7: AI Ethics and Governance in Projects
Key Areas:
Mitigating risks related to AI bias and hallucination
Adhering to responsible usage standards in professional settings
Considering data privacy and GDPR implications
Establishing clear AI usage policies for teams
Implementing human-in-the-loop validation processes
Module 8: AI Tooling and Adoption Strategies
Key Areas:
Leveraging Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to utilize Copilot versus ChatGPT or alternative tools
Comparing various AI solutions for management support
Constructing a roadmap for team-wide AI adoption
Creating a personal action plan for integrating AI into daily work
Requirements
Attendees are expected to possess fundamental experience within project environments or collaborative teams. A solid grasp of core project management principles—such as planning, risk oversight, and stakeholder interaction—is strongly advised.
No previous exposure to Artificial Intelligence tools is a prerequisite for participation.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
