Course Outline
Module 1: AI Fundamentals for Project Managers
Key areas of study:
Comprehending Large Language Models (LLMs)
Core AI principles: prompting, hallucination, and context
Distinguishing between AI systems and conventional automation
Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating how AI tools create and interpret text
Module 2: Prompt Engineering for Project Management
Key areas of study:
Foundations of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts tailored to project management tasks
Assessing and refining AI-generated responses
Practical exercises: writing prompts for specific project scenarios
Module 3: AI in Project Initiation
Key areas of study:
Drafting project charters with AI assistance
Formulating project objectives and scope definitions
Streamlining stakeholder analysis through automation
Identifying initial project risks with AI support
Critical evaluation of AI outputs for precision and completeness
Module 4: AI in Planning and Scheduling
Key areas of study:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
Applying AI-assisted estimation methods
Producing resource allocation recommendations
Optimising planning results through structured prompts
Module 5: AI in Risk and Issue Management
Key areas of study:
Conducting predictive risk analysis with AI
Creating risk registers from project descriptions
Classifying and triaging issues with AI assistance
Formulating mitigation strategies using AI support
Organising risk data via tables and structured prompts
Module 6: AI in Stakeholder Communication
Key areas of study:
Automating the creation of project reports
Generating executive summaries from project data
Adjusting tone and style for various stakeholder groups
Converting technical details into accessible business updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Key areas of study:
Recognising AI bias and the risks of hallucination
Practising responsible AI use in professional settings
Considering data privacy and GDPR requirements
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Key areas of study:
Utilising Microsoft Copilot in Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI tools
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 are expected to possess foundational experience within project environments or teams. A working knowledge of core project management principles, including planning, risk oversight, and stakeholder interaction, is advised.
Previous hands-on experience with Artificial Intelligence tools is not a prerequisite.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
