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
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of how AI tools generate and interpret textual content
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals of prompt design
Prompting techniques: zero-shot, few-shot, and role-based approaches
Structuring prompts effectively for project management tasks
Evaluating and refining AI responses
Practical exercises involving prompt creation for various project scenarios
Module 3: AI in Project Initiation
Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Automating the stakeholder analysis process
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 methodologies
Generating resource allocation recommendations
Refining planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics:
Predictive risk analysis leveraging AI
Creating risk registers based on project descriptions
AI-assisted issue classification and triage
Developing mitigation strategies with AI support
Organizing risk information using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating the creation of project reports
Generating executive summaries from project data
Adapting tone and communication styles for diverse stakeholders
Translating technical details into business-friendly updates
Managing sensitive communications with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Understanding risks associated with AI bias and hallucination
Responsible deployment of AI in professional settings
Data privacy considerations and GDPR context
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 in Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI solutions
Comparing various AI tools for project management support
Developing an AI adoption roadmap for project teams
Creating a personal action plan for integrating AI into project work
Requirements
Participants are expected to have foundational experience working within project settings or on project teams. A good grasp of core project management principles, such as planning, risk management, and stakeholder communication, is advisable.
No previous exposure to Artificial Intelligence tools is necessary.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
