Course Outline
Module 1: AI Fundamentals for Project Managers
Topics:
Grasping the principles of Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing AI systems from conventional automation
An overview of the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating how AI tools produce and interpret text
Module 2: Prompt Engineering for Project Management
Topics:
Basics of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts tailored to project management tasks
Assessing and refining AI responses
Hands-on exercises creating prompts for specific project scenarios
Module 3: AI in Project Initiation
Topics:
Drafting project charters with AI assistance
Formulating project objectives and scope definitions
Streamlining stakeholder analysis
Identifying early-stage project risks with AI support
Reviewing AI-generated content for accuracy and thoroughness
Module 4: AI in Planning and Scheduling
Topics:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project schedules
AI-supported estimation methods
Generating recommendations for resource allocation
Optimizing planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Topics:
Conducting predictive risk analysis with AI
Creating risk registers based on project descriptions
Classifying and triaging issues with AI assistance
Formulating mitigation strategies using AI support
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Topics:
Automating project reporting processes
Drafting executive summaries from project data
Tailoring tone and communication style for various stakeholders
Converting technical details into business-oriented updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Topics:
Recognizing AI bias and hallucination risks
Practicing responsible AI use in professional settings
Data privacy considerations and the GDPR landscape
Establishing AI usage policies within project teams
Implementing human-in-the-loop verification practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Topics:
Utilizing Microsoft Copilot in Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI platforms
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
Attendees should possess foundational experience in project settings or team environments. A working knowledge of standard project management principles, such as 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.
