Course Outline
Module 1: AI Foundations for Project Managers
Key topics include:
Grasping the mechanics of Large Language Models (LLMs)
Core AI principles: prompting strategies, managing hallucinations, and context awareness
Distinguishing between modern AI systems and conventional automation
Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations illustrating how AI tools produce and interpret textual content
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals of effective prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Tailoring prompts specifically for project management duties
Assessing and iterating on AI responses
Hands-on exercises involving prompt creation for realistic project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Formulating project goals and scope definitions
Streamlining stakeholder analysis through automation
Identifying early-stage project risks with AI support
Critically reviewing AI-generated content for precision and thoroughness
Module 4: AI in Planning and Scheduling
Subtopics:
Utilizing AI to generate Work Breakdown Structures (WBS)
Developing milestone charts and project schedules
Applying AI-assisted methods for effort estimation
Creating recommended resource allocation models
Optimizing planning deliverables through the use of structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Leveraging AI for predictive risk analysis
Constructing risk registers based on project narratives
Classifying and triaging issues with AI support
Formulating mitigation strategies aided by AI
Organizing risk data using tables and structured prompt frameworks
Module 6: AI in Stakeholder Communication
Subtopics:
Automating the creation of project reports
Drafting executive summaries from raw project data
Tuning communication tone and style to suit various stakeholder groups
Converting technical details into accessible business updates
Handling sensitive communications with the aid of AI
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing AI biases and the risks associated with hallucinations
Implementing responsible AI practices in professional settings
Navigating data privacy concerns within the GDPR framework
Establishing clear AI usage policies for project teams
Adopting human-in-the-loop validation protocols
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Integrating Microsoft Copilot into Word, Excel, Teams, and Outlook
Determining when to utilize Copilot versus ChatGPT or alternative AI tools
Benchmarking various AI platforms for project management support
Creating a strategic roadmap for AI adoption within teams
Formulating a personalized AI action plan for individual project work
Requirements
Candidates should possess fundamental experience operating within project environments or as part of project teams. A solid grasp of core project management principles, including planning, risk oversight, and stakeholder engagement, is advised.
Previous experience with Artificial Intelligence tools is not a requirement.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
