Course Outline
Module 1: Foundational AI Concepts for Project Managers
Key areas include:
Comprehending Large Language Models (LLMs)
Essential AI principles: prompting, hallucination, and context awareness
Distinguishing AI systems from traditional automation
An introduction to the AI platforms featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations of text generation and interpretation using AI tools
Module 2: Prompt Engineering Strategies for Project Management
Coverage includes:
Basics of prompt design
Techniques such as zero-shot, few-shot, and role-based prompting
Organising prompts specifically for project management objectives
Assessing and optimising AI responses
Hands-on exercises focused on creating prompts for various project scenarios
Module 3: Leveraging AI in Project Initiation
Focus areas:
Drafting project charters with AI assistance
Formulating project goals and scope definitions
Streamlining stakeholder analysis processes
Identifying early-stage project risks with AI support
Validating the accuracy and completeness of AI-generated content
Module 4: AI in Planning and Scheduling
Topics covered:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
Utilising AI for estimation techniques
Receiving suggestions for resource allocation
Refining planning documents through structured prompting
Module 5: AI in Risk and Issue Management
Key concepts:
Conducting predictive risk analysis with AI
Creating risk registers from project narratives
Classifying and triaging issues with AI aid
Formulating mitigation strategies supported by AI
Organising risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Learn how to:
Automate project reporting workflows
Produce executive summaries from raw project data
Tailor tone and communication styles for diverse stakeholders
Convert technical details into accessible business updates
Handle sensitive communications with AI guidance
Module 7: AI Ethics and Governance in Project Contexts
Discussion points:
Recognising AI bias and the risks of hallucination
Practising responsible AI use in professional settings
Addressing data privacy considerations within a GDPR framework
Establishing AI usage policies for project teams
Implementing human-in-the-loop validation protocols
Module 8: AI Toolkits for Project Managers and Adoption Strategies
Includes:
Utilising 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 teams
Developing a personal action plan for integrating AI into project work
Requirements
Prospective participants are expected to possess foundational experience in project-based environments or team settings. While prior knowledge of general project management principles—such as planning, risk assessment, and stakeholder communication—is highly beneficial, it is not strictly mandatory.
No previous exposure to Artificial Intelligence tools is necessary for this course.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
