Course Outline

Module 1: AI Foundations for Project Managers

Subtopics:
Understanding Large Language Models (LLMs)
Key AI concepts: prompting, hallucination, context
Differences between AI systems and traditional automation
Overview of AI tools used in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of how AI tools generate and interpret text for government projects

Module 2: Prompt Engineering for Project Management

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

Module 3: AI in Project Initiation

Subtopics:
AI-assisted project charter drafting
Generating project objectives and scope statements
Automating stakeholder analysis
AI-supported identification of early project risks
Evaluating AI-generated outputs for accuracy and completeness for government projects

Module 4: AI in Planning and Scheduling

Subtopics:
AI-generated Work Breakdown Structures (WBS)
Creating milestone plans and project timelines
AI-assisted estimation techniques
Generating resource allocation suggestions
Refining planning outputs using structured prompts for government

Module 5: AI in Risk and Issue Management

Subtopics:
Predictive risk analysis with AI
Generating risk registers from project descriptions
AI-assisted issue classification and triage
Developing mitigation strategies using AI support
Structuring risk information using tables and structured prompts for government

Module 6: AI in Stakeholder Communication

Subtopics:
Automating project reporting
Generating executive summaries from project data
Adapting tone and communication style for different stakeholders
Transforming technical information into business-friendly updates
Managing sensitive communication with AI assistance for government

Module 7: AI Ethics and Governance in Projects

Subtopics:
Understanding AI bias and hallucination risks
Responsible use of AI in professional environments
Data privacy considerations and GDPR context
Defining AI usage policies within project teams
Human-in-the-loop validation practices for government projects

Module 8: AI Tools for Project Managers and Adoption Strategy

Subtopics:
Using Microsoft Copilot in Word, Excel, Teams, and Outlook
When to use Copilot versus ChatGPT or other AI tools
Comparing different AI tools for project management support
Building an AI adoption roadmap for project teams
Developing a personal AI action plan for project work for government

Requirements

Participants should have foundational experience working in project environments or project teams. Familiarity with general project management concepts, including planning, risk management, and stakeholder communication, is recommended. No prior experience with Artificial Intelligence tools is required for government participants.
 14 Hours

Number of participants


Price per participant

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