Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Essential AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and conventional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Live demonstration of AI-driven text generation and interpretation
Module 2: Prompt Engineering for Project Management
Subtopics:
Core principles of prompt design
Applying zero-shot, few-shot, and role-based prompting techniques
Tailoring prompts for specific project management duties
Assessing and optimizing AI responses
Hands-on exercises creating prompts for various project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Developing project objectives and scope definitions
Streamlining stakeholder analysis using AI
Identifying early-stage project risks with AI support
Reviewing AI-generated content for precision and thoroughness
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) via AI
Developing milestone plans and project schedules
Utilizing AI-assisted estimation methods
Producing resource allocation recommendations
Refining planning outputs through structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Creating risk registers from project documentation
Classifying and triaging issues using AI support
Formulating mitigation strategies with AI assistance
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Streamlining project reporting processes
Creating executive summaries from raw project data
Adjusting tone and communication styles for diverse stakeholders
Converting technical details into accessible business updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing AI bias and hallucination risks
Implementing responsible AI use in professional settings
Navigating data privacy considerations 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 use Copilot versus ChatGPT or other AI solutions
Evaluating various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Formulating a personal AI action plan for project work
Requirements
Attendees are expected to possess foundational experience within project settings or cross-functional teams. A working knowledge of core project management principles, such as planning, risk mitigation, and stakeholder communication, is strongly advised.
No previous background in 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.
