Course Outline
Module 1: AI Fundamentals for Project Managers
Key Areas:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and conventional automation
Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of text generation and interpretation capabilities using AI tools
Module 2: Prompt Engineering in a Project Management Context
Key Areas:
Foundations of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Structuring prompts specifically for project management duties
Assessing and iteratively improving AI responses
Hands-on exercises: crafting prompts for various project scenarios
Module 3: Applying AI to Project Initiation
Key Areas:
AI-assisted creation of project charters
Drafting project objectives and scope definitions
Streamlining stakeholder analysis with AI
Identifying early-stage project risks with AI support
Verifying the accuracy and completeness of AI-generated content
Module 4: AI in Planning and Scheduling
Key Areas:
Generating Work Breakdown Structures (WBS) using AI
Formulating milestone plans and project schedules
Utilizing AI-assisted estimation methods
Obtaining resource allocation recommendations from AI
Refining planning outcomes through structured prompting
Module 5: AI in Risk and Issue Management
Key Areas:
Conducting predictive risk analysis with AI
Creating risk registers based on project descriptions
AI-assisted classification and prioritization of issues
Formulating mitigation strategies with AI assistance
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Key Areas:
Automating the project reporting process
Drafting executive summaries from project data
Tailoring tone and communication style to suit different stakeholders
Converting technical details into business-oriented updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Key Areas:
Recognizing AI bias and hallucination risks
Implementing responsible AI practices in professional settings
Navigating data privacy considerations and the GDPR framework
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation procedures
Module 8: AI Tools for Project Managers and Adoption Strategies
Key Areas:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI solutions
Comparing various AI tools for project management support
Creating an AI adoption roadmap for project teams
Developing a personalized AI action plan for project work
Requirements
Attendees are expected to possess foundational experience working within project environments or teams. A working knowledge of core project management disciplines, including planning, risk management, and stakeholder communication, is advisable.
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.
