Course Outline
Module 1: AI Foundations for Project Managers
Key topics:
Comprehending Large Language Models (LLMs)
Essential AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and conventional automation
An 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 topics:
Core principles of prompt design
Applications of zero-shot, few-shot, and role-based prompting
Tailoring prompts for specific project management objectives
Critiquing and optimising AI responses
Hands-on exercises involving prompt creation for various project scenarios
Module 3: AI in Project Initiation
Key topics:
Drafting project charters with AI assistance
Formulating project objectives and defining scope statements
Automating the analysis of stakeholder profiles
Identifying initial project risks with AI support
Validating AI-generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Key topics:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
Utilising AI-assisted estimation methods
Producing resource allocation recommendations
Refining planning deliverables through structured prompting
Module 5: AI in Risk and Issue Management
Key topics:
Conducting predictive risk analysis with AI
Compiling risk registers from project descriptions
Classifying and triaging issues with AI assistance
Formulating mitigation strategies supported by AI
Organising risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Key topics:
Streamlining project reporting processes
Creating executive summaries from project data
Adjusting tone and communication 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
Key topics:
Recognising risks associated with AI bias and hallucinations
Practising responsible AI usage in professional settings
Considering data privacy implications and the GDPR framework
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation protocols
Module 8: AI Tools for Project Managers and Adoption Strategy
Key topics:
Utilising Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI platforms
Evaluating various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Creating a personal AI action plan for project responsibilities
Requirements
Candidates should possess foundational experience within project environments or teams. It is recommended that attendees have a general grasp of core project management principles, including planning, risk management, and stakeholder communication.
Previous 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.
