Course Outline
Module 1: AI Foundations for Project Managers
Key areas of focus:
Comprehending Large Language Models (LLMs)
Essential AI concepts: prompting, hallucination, and context
Distinguishing AI systems from traditional automation
Overview of the AI tools covered in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of text generation and interpretation via AI tools
Module 2: Prompt Engineering for Project Management
Key areas of focus:
Foundations of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Structuring prompts specifically for project management tasks
Evaluating and iterating on AI responses
Hands-on exercises creating prompts for specific project scenarios
Module 3: AI in Project Initiation
Key areas of focus:
Drafting project charters with AI assistance
Generating project objectives and scope definitions
Automating the process of stakeholder analysis
Identifying early-stage project risks with AI support
Reviewing AI-generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Key areas of focus:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
Utilizing AI-assisted estimation techniques
Producing suggestions for resource allocation
Refining planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Key areas of focus:
Conducting predictive risk analysis with AI
Creating risk registers from project descriptions
Classifying and triaging issues with AI assistance
Formulating mitigation strategies with AI support
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Key areas of focus:
Streamlining project reporting processes
Drafting executive summaries from project data
Tailoring tone and communication styles for various stakeholders
Converting technical details into business-friendly updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Key areas of focus:
Recognizing AI bias and hallucination risks
Adhering to responsible AI practices in professional settings
Addressing data privacy considerations and GDPR compliance
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation procedures
Module 8: AI Tools for Project Managers and Adoption Strategy
Key areas of focus:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to use Copilot compared to ChatGPT or other AI tools
Evaluating various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Creating a personal AI action plan for project tasks
Requirements
Participants are expected to have fundamental experience within project environments or teams. While not strictly mandatory, a working knowledge of core project management concepts—such as planning, risk management, and stakeholder communication—is strongly advised.
No previous experience with Artificial Intelligence tools is necessary.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
