Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing AI systems from traditional automation
Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating text generation and interpretation using AI tools
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals of prompt design
Implementing zero-shot, few-shot, and role-based prompting
Tailoring prompts for specific project management objectives
Critiquing and refining AI-generated responses
Hands-on exercises in crafting prompts for realistic project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Developing project goals and scope definitions
Streamlining stakeholder analysis through automation
Identifying early-stage risks with AI support
Verifying the accuracy and completeness of AI-generated materials
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project schedules
Applying AI-assisted estimation methods
Creating resource allocation recommendations
Optimizing planning results through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Populating risk registers based on 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
Subtopics:
Automating the generation of project reports
Crafting executive summaries from raw project data
Adjusting tone and style to suit various stakeholder groups
Converting technical details into business-oriented updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing AI bias and hallucination risks
Practicing responsible AI usage in professional settings
Addressing data privacy and GDPR compliance
Establishing AI usage policies for project teams
Implementing human-in-the-loop validation protocols
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Leveraging Microsoft Copilot in Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI tools
Evaluating different AI tools for project management support
Creating an AI adoption roadmap for project teams
Formulating a personal AI action plan for project tasks
Requirements
Candidates are expected to possess foundational experience within project settings or cross-functional teams. A solid grasp of core project management principles—including planning, risk management, and stakeholder communication—is advised.
Previous familiarity with 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.
