Course Outline
Module 1: AI Foundations for Project Managers
Subtopics: Key concepts in Large Language Models (LLMs) Essential AI principles: prompting, hallucination, and context handling Distinguishing AI systems from conventional automation Introduction to course-specific tools: ChatGPT, Claude, and Microsoft Copilot Demonstrating text generation and interpretation using AI assistants
Module 2: Prompt Engineering for Project Management
Subtopics: Fundamentals of prompt architecture Techniques for zero-shot, few-shot, and role-based prompting Designing prompts specifically for project management deliverables Critically evaluating and iterating on AI responses Hands-on exercises for creating prompts in realistic project scenarios
Module 3: AI in Project Initiation
Subtopics: Drafting project charters with AI assistance Formulating clear project objectives and scope definitions Streamlining stakeholder analysis processes Identifying early-stage project risks through AI support Verifying the accuracy and completeness of AI-generated initiation documents
Module 4: AI in Planning and Scheduling
Subtopics: Generating Work Breakdown Structures (WBS) using AI Constructing milestone plans and project timelines Applying AI-assisted estimation methods Producing resource allocation recommendations Optimising planning deliverables through structured prompt refinement
Module 5: AI in Risk and Issue Management
Subtopics: Conducting predictive risk analysis with AI Compiling risk registers directly from project descriptions Classifying and triaging issues with AI support Formulating mitigation strategies aided by AI Organising risk data using tables and structured prompting techniques
Module 6: AI in Stakeholder Communication
Subtopics: Automating the generation of project reports Creating executive summaries derived from project data Adjusting tone and style to suit various stakeholder groups Converting technical details into business-centric updates Handling sensitive communications effectively with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics: Recognising AI bias and hallucination risks Practising responsible AI usage in professional settings Considering data privacy and GDPR compliance 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 capabilities of different AI tools for project support Formulating an AI adoption roadmap for project teams Creating a personalised AI action plan for individual project work
Requirements
Prospective participants are expected to possess foundational experience within project teams or professional project environments. While a general grasp of core project management principles, including planning, risk oversight, and stakeholder communication, is highly advisable, no prior exposure to 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.
