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Course Outline

Module 1: AI Foundations for Project Managers

Subtopics:
Grasping Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinctions between AI systems and conventional automation
Survey of AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Live demonstration of how AI tools generate and interpret text

Module 2: Prompt Engineering for Project Management

Subtopics:
Fundamentals of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts specifically for project management tasks
Evaluating and refining AI responses
Practical exercises: crafting prompts for various project scenarios

Module 3: AI in Project Initiation

Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Automating stakeholder analysis
Identifying early-stage project risks with AI support
Assessing AI-generated outputs for accuracy and comprehensiveness

Module 4: AI in Planning and Scheduling

Subtopics:
AI-driven generation of Work Breakdown Structures (WBS)
Developing milestone plans and project timelines
Estimation techniques supported by AI
Suggestions for resource allocation generated by AI
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 assistance
Organising risk information via tables and structured prompts

Module 6: AI in Stakeholder Communication

Subtopics:
Automating project reporting processes
Generating executive summaries from project data
Adjusting tone and communication style for diverse stakeholders
Translating technical details into business-friendly updates
Handling sensitive communications with AI support

Module 7: AI Ethics and Governance in Projects

Subtopics:
Understanding risks related to AI bias and hallucination
Responsible integration of AI in professional settings
Data privacy considerations within the GDPR context
Establishing AI usage policies for project teams
Practices for human-in-the-loop validation

Module 8: AI Tools for Project Managers and Adoption Strategy

Subtopics:
Leveraging Microsoft Copilot across Word, Excel, Teams, and Outlook
Selecting between Copilot, ChatGPT, or other AI tools based on context
Comparing various AI solutions for project management support
Constructing an AI adoption roadmap for project teams
Formulating a personal action plan for integrating AI into project work

Requirements

Attendees should possess foundational experience working within project settings or on project teams. A good understanding of core project management principles, such as planning, risk management, and stakeholder communication, is recommended.

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

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