Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Demystifying Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing AI systems from traditional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating how AI tools generate and interpret text
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Tailoring prompts for specific project management tasks
Critiquing and refining AI responses
Hands-on exercises creating prompts for realistic project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Formulating project objectives and scope definitions
Automating stakeholder analysis processes
Identifying early-stage project risks with AI support
Reviewing AI-generated content for accuracy and thoroughness
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
Applying AI-assisted estimation methods
Creating resource allocation recommendations
Polishing planning deliverables through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Compiling risk registers from project descriptions
Classifying and triaging issues with AI support
Formulating mitigation strategies leveraging AI capabilities
Organising risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Streamlining project reporting workflows
Creating executive summaries from raw project data
Adjusting tone and style to suit diverse stakeholders
Converting technical details into accessible business updates
Handling sensitive communications with AI guidance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognising risks associated with AI bias and hallucination
Practising responsible AI usage in professional settings
Navigating data privacy requirements, including the GDPR framework
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:
Leveraging 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 personal AI action plan for project work
Requirements
Candidates are expected to have foundational experience within project environments or teams. A working knowledge of core project management principles, such as planning, risk management, and stakeholder engagement, is advisable.
No previous hands-on 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.