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Course Outline

Module 1: Artificial Intelligence Foundations for Project Managers

Subtopics:
Comprehending Large Language Models (LLMs)
Essential AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and traditional automation
Survey of AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Live demonstration of text generation and interpretation by AI tools

Module 2: Prompt Engineering for Project Management

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

Module 3: Artificial Intelligence in Project Initiation

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

Module 4: Artificial Intelligence in Planning and Scheduling

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

Module 5: Artificial Intelligence in Risk and Issue Management

Subtopics:
Predictive risk analysis using AI
Creating risk registers from project descriptions
AI-assisted issue classification and triage
Developing mitigation strategies with AI support
Organizing risk information via tables and structured prompts

Module 6: Artificial Intelligence in Stakeholder Communication

Subtopics:
Automating project reporting
Generating executive summaries from project data
Adjusting tone and communication style for varied audiences
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 utilization of AI in professional settings
Data privacy considerations and GDPR implications
Establishing AI usage policies within project teams
Practices for human-in-the-loop validation

Module 8: AI Tools for Project Managers and Adoption Strategy

Subtopics:
Leveraging Microsoft Copilot within Word, Excel, Teams, and Outlook
Guidelines for choosing between Copilot, ChatGPT, or other AI tools
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Developing a personal action plan for integrating AI into project work

Requirements

Participants should possess foundational experience working within project settings or project teams. A solid grasp of general project management principles, including planning, risk management, and stakeholder communication, is advisable.

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

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