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Course Outline

Module 1: Foundations of AI for Project Managers

Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and traditional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of how AI tools generate and interpret textual data

Module 2: Prompt Engineering for Project Management

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

Module 3: Leveraging AI in Project Initiation

Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Automating stakeholder analysis processes
Utilizing AI to identify early-stage project risks
Assessing AI-generated outputs for accuracy and completeness

Module 4: AI in Planning and Scheduling

Subtopics:
Creating Work Breakdown Structures (WBS) via AI
Developing milestone plans and project timelines
AI-enhanced estimation techniques
Generating suggestions for resource allocation
Refining planning outputs through structured prompting

Module 5: AI in Risk and Issue Management

Subtopics:
Predictive risk analysis using AI
Deriving risk registers from project descriptions
AI-assisted classification and triage of issues
Developing mitigation strategies supported by AI
Organizing risk information using tables and structured prompts

Module 6: Enhancing Stakeholder Communication with AI

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

Module 7: AI Ethics and Governance in Projects

Subtopics:
Recognizing risks related to AI bias and hallucination
Ensuring responsible AI usage 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:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to use 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 action plan for integrating AI into 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 advised.

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

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