Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing AI systems from traditional automation
Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations of text generation and interpretation by AI tools
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Organising prompts for specific project management tasks
Assessing and refining AI-generated responses
Hands-on exercises creating prompts for project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Generating project objectives and scope definitions
Automating stakeholder analysis processes
Using AI to identify early-stage project risks
Reviewing AI-generated content for accuracy and thoroughness
Module 4: AI in Planning and Scheduling
Subtopics:
Creating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project schedules
AI-supported estimation methods
Generating suggestions for resource allocation
Improving planning results through structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Building risk registers based on project descriptions
Classifying and triaging issues with AI support
Formulating mitigation strategies with AI assistance
Organising risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Streamlining project reporting processes
Producing executive summaries from project data
Adjusting tone and style for diverse stakeholder groups
Converting technical details into business-oriented updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognising AI bias and hallucination risks
Responsible AI application in professional settings
Data privacy considerations within the GDPR framework
Establishing AI usage policies for 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 versus ChatGPT or other AI solutions
Evaluating various AI tools for project management support
Creating an AI adoption roadmap for project teams
Developing a personal AI action plan for project tasks
Requirements
Candidates are expected to possess foundational experience in project environments or team settings. A working knowledge of core project management principles, such as planning, risk management, and stakeholder communication, is advisable.
No previous background in 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.