Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Understanding Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing AI systems from traditional automation
Overview of AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations of AI text generation and interpretation
Module 2: Prompt Engineering for Project Management
Subtopics:
Foundations of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts for specific project management tasks
Assessing and refining AI responses
Hands-on exercises in writing prompts for various project scenarios
Module 3: AI in Project Initiation
Subtopics:
AI-assisted drafting of project charters
Generating project objectives and scope statements
Automating stakeholder analysis
AI-supported identification of early-stage project risks
Reviewing AI-generated content for accuracy and completeness
Module 4: AI in Planning and Scheduling
Subtopics:
AI generation of Work Breakdown Structures (WBS)
Developing milestone plans and project timelines
AI-assisted estimation methodologies
Producing resource allocation recommendations
Refining planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics:
Predictive risk analysis using AI
Creating risk registers from project descriptions
AI-assisted classification and triage of issues
Formulating mitigation strategies with AI support
Organising risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automation of project reporting
Creating executive summaries from project data
Tailoring tone and communication style for diverse stakeholders
Converting technical details into business-friendly updates
Handling sensitive communications with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognising AI bias and hallucination risks
Responsible AI deployment in professional settings
Data privacy considerations and the context of GDPR
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
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
Developing a personal AI action plan for project work
Requirements
Candidates should possess fundamental experience in project environments or teams. A working knowledge of core project management concepts, including planning, risk management, and stakeholder communication, is advised.
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.
