Course Outline
Module 1: AI Fundamentals for Project Managers
Key topics include:
Comprehending Large Language Models (LLMs)
Essential AI principles: prompting, hallucinations, and context
Distinguishing between AI systems and conventional automation
An overview of the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
A demonstration of text generation and interpretation by AI tools
Module 2: Prompt Engineering for Project Management
Key topics include:
The basics of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts specifically for project management duties
Assessing and refining AI-generated responses
Practical exercises involving prompt creation for various project scenarios
Module 3: AI in Project Initiation
Key topics include:
Drafting project charters with AI support
Creating project goals and scope definitions
Streamlining stakeholder analysis
Identifying early-stage project risks with AI assistance
Verifying the accuracy and completeness of AI-generated content
Module 4: AI in Planning and Scheduling
Key topics include:
Developing Work Breakdown Structures (WBS) using AI
Establishing milestone plans and project schedules
Estimation techniques enhanced by AI
Generating recommendations for resource allocation
Refining planning deliverables through structured prompting
Module 5: AI in Risk and Issue Management
Key topics include:
Conducting predictive risk analysis with AI
Populating risk registers from project descriptions
Categorising and prioritising issues with AI support
Formulating mitigation strategies using AI assistance
Organising risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Key topics include:
Automating the project reporting process
Creating executive summaries from project data
Tailoring tone and communication styles 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 topics include:
Recognising AI bias and the risk of hallucinations
Applying responsible AI practices in professional settings
Considerations regarding data privacy and the GDPR context
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation methods
Module 8: AI Tools for Project Managers and Adoption Strategy
Key topics include:
Utilising Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to employ Copilot versus ChatGPT or other AI platforms
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Creating a personal AI action plan for project duties
Requirements
Attendees are expected to possess foundational experience in project settings or team environments. A working knowledge of core project management principles, such as planning, risk management, and stakeholder communication, is advisable.
No previous exposure to 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.
