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Course Outline

Module 1: AI Foundations for Project Managers

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

Module 2: Prompt Engineering for Project Management

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

Module 3: AI in Project Initiation

Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Automating stakeholder analysis
Identifying early-stage project risks with AI support
Assessing AI-generated outputs for accuracy and completeness

Module 4: AI in Planning and Scheduling

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

Module 5: AI 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 data via tables and structured prompts

Module 6: AI in Stakeholder Communication

Subtopics:
Automating project reporting processes
Generating executive summaries from project data
Tailoring tone and communication style for various stakeholders
Translating technical details into business-friendly updates
Managing sensitive communications with AI assistance

Module 7: AI Ethics and Governance in Projects

Subtopics:
Understanding AI bias and hallucination risks
Ethical use 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:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Selecting between Copilot, ChatGPT, and other AI tools
Comparing AI solutions for project management support
Creating an AI adoption roadmap for project teams
Crafting a personal AI action plan for project work

Requirements

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

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

Number of participants


Price per participant

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