Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Understanding Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
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:
Foundations of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Structuring prompts specifically for project management tasks
Evaluating and refining AI-generated responses
Hands-on exercises for writing prompts tailored to project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Generating project objectives and scope statements
Automating stakeholder analysis
Identifying early project risks with AI support
Assessing the accuracy and completeness of AI-generated outputs
Module 4: AI in Planning and Scheduling
Subtopics:
Creating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
AI-assisted estimation techniques
Generating suggestions for resource allocation
Refining planning outputs through structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Generating risk registers from project descriptions
Classifying and triaging issues with AI assistance
Developing mitigation strategies supported by AI
Organizing risk information using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating project reporting processes
Generating executive summaries from project data
Adjusting tone and communication style for various stakeholders
Converting technical details into business-friendly updates
Managing sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing AI bias and hallucination risks
Practicing responsible AI use in professional settings
Addressing data privacy considerations and GDPR compliance
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:
Leveraging Microsoft Copilot in Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI tools
Comparing various AI tools for project management support
Creating an AI adoption roadmap for project teams
Formulating a personal AI action plan for project work
Requirements
Participants are expected to have foundational experience in project environments or teams. A general understanding of project management principles, including planning, risk management, and stakeholder communication, is advised.
No previous experience with 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.