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Course Outline

Module 1: Fundamentals of Artificial Intelligence for Project Management

Subtopics:
An overview of Large Language Models (LLMs)
Core AI principles including prompting techniques, hallucination phenomena, and context management
Distinguishing AI-driven systems from traditional automation methods
Survey of AI platforms utilized in this curriculum, such as ChatGPT, Claude, and Microsoft Copilot
Illustrative examples of AI text generation and interpretation processes

Module 2: Prompt Engineering for Project Management Applications

Subtopics:
Principles of effective prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Structuring prompts to address specific project management requirements
Methods for evaluating and refining AI-generated responses
Applied exercises in drafting prompts for various project scenarios

Module 3: Applying Artificial Intelligence to Project Initiation

Subtopics:
Leveraging AI to assist in drafting project charters
Formulating project objectives and scope statements
Streamlining stakeholder analysis through automation
Utilizing AI to identify potential early-stage project risks
Critical assessment of AI-generated outputs for accuracy and completeness

Module 4: Leveraging AI for Planning and Scheduling

Subtopics:
Automating the creation of Work Breakdown Structures (WBS)
Developing milestone plans and project timelines
Enhancing estimation techniques with AI assistance
Generating suggestions for resource allocation
Improving planning deliverables through structured prompting

Module 5: Utilizing AI for Risk and Issue Management

Subtopics:
Conducting predictive risk analysis using AI capabilities
Creating risk registers based on project descriptions
Classifying and triaging issues with AI assistance
Developing mitigation strategies supported by AI insights
Organizing risk data using tables and structured prompts for clarity

Module 6: Enhancing Stakeholder Communication with AI

Subtopics:
Automating routine project reporting
Generating executive summaries from complex project data
Adjusting communication tone and style to suit diverse stakeholder audiences
Translating technical details into accessible business updates
Managing sensitive communications with appropriate AI safeguards

Module 7: Ethics and Governance in AI-Driven Projects

Subtopics:
Identifying and mitigating risks related to AI bias and hallucination
Ensuring responsible deployment of AI within professional settings
Addressing data privacy requirements, including GDPR compliance
Establishing clear policies governing AI usage within project teams
Implementing human-in-the-loop validation protocols

Module 8: AI Tools for Project Managers and Adoption Strategies

Subtopics:
Integrating Microsoft Copilot into Word, Excel, Teams, and Outlook
Selecting appropriate AI tools based on specific task requirements, such as using Copilot versus ChatGPT
Evaluating various AI platforms for their suitability in project management support
Developing a strategic roadmap for AI adoption within project teams
Creating individual action plans to integrate AI into daily project workflows

Requirements

Eligible candidates must demonstrate foundational proficiency within project-based workflows or collaborative team settings. Knowledge of core project governance principles, including strategic planning, risk mitigation, and stakeholder engagement, is advisable. There is no prerequisite for prior exposure to artificial intelligence systems, ensuring the material remains accessible for government personnel seeking to integrate these methodologies into their operational frameworks.
 14 Hours

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