Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI principles: prompting, hallucinations, and context handling
Distinguishing between AI systems and conventional automation
Survey of AI platforms featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of text generation and interpretation via AI tools
Module 2: Prompt Engineering for Project Management
Subtopics:
Foundations of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Optimizing prompt structure for specific project management tasks
Critical evaluation and iterative refinement of AI responses
Hands-on exercises: Creating prompts for realistic project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Formulating project objectives and scope definitions
Automating stakeholder analysis processes
Identifying initial project risks through AI support
Verifying the accuracy and completeness of AI-generated deliverables
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) with AI
Developing milestone plans and project timelines
Leveraging AI-assisted estimation methods
Producing resource allocation recommendations
Polishing planning outputs through the use of structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis using AI
Compiling risk registers from project narratives
Classifying and triaging issues with AI support
Formulating mitigation strategies leveraging AI capabilities
Organizing risk data using tables and structured prompt formats
Module 6: AI in Stakeholder Communication
Subtopics:
Streamlining project reporting processes
Drafting executive summaries from project data sources
Tailoring tone and communication style for diverse stakeholder groups
Converting technical details into business-oriented updates
Handling sensitive communications with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing AI bias and the risks of hallucination
Implementing responsible AI practices in professional settings
Addressing data privacy concerns and GDPR compliance
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation protocols
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to deploy Copilot versus ChatGPT or other AI solutions
Benchmarking various AI tools for project management assistance
Constructing an AI adoption roadmap for project teams
Formulating a personal AI action plan for project execution
Requirements
Attendees should possess foundational experience within project-based settings or cross-functional teams. A working knowledge of core project management principles, including planning, risk management, and stakeholder engagement, is advised.
Previous exposure to Artificial Intelligence tools is not a prerequisite.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
