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Course Outline

Module 1: AI Foundations for Project Managers

Subtopics:
Understanding Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinctions between AI systems and traditional automation
Overview of AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration 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 project management assignments
Evaluating and refining AI responses
Practical exercises: drafting prompts for project scenarios

Module 3: AI in Project Initiation

Subtopics:
AI-assisted drafting of project charters
Generating project objectives and scope statements
Automating stakeholder analysis
Identifying early project risks with AI support
Evaluating 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 techniques
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 information via tables and structured prompts

Module 6: AI in Stakeholder Communication

Subtopics:
Automating project reporting
Generating executive summaries from project data
Adapting 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
Responsible AI usage in professional settings
Data privacy considerations and GDPR context
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 in Word, Excel, Teams, and Outlook
Choosing between Copilot and other AI tools like ChatGPT
Comparing AI tools for project management support
Developing an AI adoption roadmap for project teams
Creating a personal AI action plan for project work

Requirements

Participants should possess foundational experience in project environments or project teams. Familiarity with core project management principles, such as planning, risk management, and stakeholder communication, is recommended.

Prior experience with Artificial Intelligence tools is not required.

 14 Hours

Number of participants


Price per participant

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