Course Outline
Module 1: AI Fundamentals for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucinations, and context windows
Distinguishing AI systems from traditional automation
Introduction to the AI tools covered in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating how AI tools generate and interpret text
Module 2: Prompt Engineering for Project Management
Subtopics:
Principles of prompt design
Techniques including zero-shot, few-shot, and role-based prompting
Constructing prompts tailored to specific project management tasks
Critical assessment and refinement of AI responses
Hands-on exercises: drafting prompts for realistic project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Formulating project objectives and scope statements
Streamlining stakeholder analysis through automation
Identifying early-stage project risks with AI support
Reviewing AI-generated outputs for accuracy and thoroughness
Module 4: AI in Planning and Scheduling
Subtopics:
Developing Work Breakdown Structures (WBS) using AI
Establishing milestone plans and project timelines
Leveraging AI-assisted estimation methods
Generating recommendations for resource allocation
Optimizing planning results through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Creating risk registers derived from project descriptions
Classifying and triaging issues with AI support
Formulating mitigation strategies leveraging AI capabilities
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating the creation of project reports
Producing executive summaries from raw project data
Tailoring tone and communication styles for diverse stakeholder groups
Converting technical details into business-oriented updates
Handling sensitive communications with AI guidance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing AI bias and the risks of hallucination
Practicing responsible AI usage in professional settings
Addressing data privacy considerations and the GDPR context
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation practices
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 other AI solutions
Evaluating different AI tools for project management support
Creating an AI adoption roadmap for project teams
Developing a personal AI action plan for project workflows
Requirements
Attendees are expected to possess foundational experience within project environments or cross-functional teams. A general working knowledge of core project management principles—such as planning, risk mitigation, and stakeholder communication—is advisable.
Prior exposure to 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.