Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and traditional automation
Introduction to the AI tools covered in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating how AI tools generate and interpret text
Module 2: Prompt Engineering for Project Management
Subtopics:
Basics of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Structuring prompts tailored to project management tasks
Assessing and refining AI responses
Practical exercises in writing prompts for specific project scenarios
Module 3: AI in Project Initiation
Subtopics:
AI-assisted drafting of project charters
Creating project objectives and scope statements
Automating stakeholder analysis
Using AI to identify early-stage project risks
Evaluating the accuracy and completeness of AI-generated outputs
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) with AI
Developing milestone plans and project timelines
AI-assisted estimation techniques
Producing resource allocation recommendations
Optimising planning outputs through structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis using AI
Populating risk registers from project descriptions
AI-assisted issue classification and triage
Formulating mitigation strategies with AI support
Organising risk information using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating project reporting processes
Generating executive summaries from project data
Tailoring tone and communication style for diverse stakeholders
Translating technical information into accessible business updates
Handling sensitive communications with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognising AI bias and hallucination risks
Utilising AI responsibly in professional settings
Data privacy considerations within the GDPR context
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 across Word, Excel, Teams, and Outlook
Determining when to use Copilot compared to 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
Participants are expected to possess foundational experience within project environments or teams. Prior familiarity with general project management concepts, such as planning, risk management, and stakeholder communication, is advisable.
No prior 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.
