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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
Survey of AI tools utilized in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating how AI tools generate and interpret textual content

Module 2: Prompt Engineering for Project Management

Subtopics:
Fundamentals of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Formatting prompts for specific project management tasks
Assessing and refining AI responses
Practical exercises involving prompt creation for project scenarios

Module 3: AI in Project Initiation

Subtopics:
Utilizing AI for drafting project charters
Formulating project objectives and scope statements
Automating stakeholder analysis processes
AI-supported identification of initial project risks
Reviewing AI-generated outputs for accuracy and completeness

Module 4: AI in Planning and Scheduling

Subtopics:
Generating Work Breakdown Structures (WBS) with AI
Developing milestone plans and project timelines
AI-assisted estimation methodologies
Receiving AI-driven suggestions for resource allocation
Refining planning outputs through structured prompting

Module 5: AI in Risk and Issue Management

Subtopics:
Predictive risk analysis powered by AI
Auto-generating risk registers from project descriptions
AI-assisted issue classification and triage
Crafting mitigation strategies with AI support
Organizing risk data using tables and structured prompts

Module 6: AI in Stakeholder Communication

Subtopics:
Automating project reporting processes
Creating 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 assistance

Module 7: AI Ethics and Governance in Projects

Subtopics:
Understanding risks related to AI bias and hallucination
Responsible deployment of AI in professional settings
Data privacy considerations and GDPR implications
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:
Leveraging Microsoft Copilot within Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI solutions
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Formulating a personal AI action plan for project work

Requirements

Attendees should possess foundational experience within project environments or project teams. A working knowledge of core project management principles, such as planning, risk management, and stakeholder communication, is advisable.

Previous exposure to Artificial Intelligence tools is not a prerequisite.

 14 Hours

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