Course Outline
Module 1: AI Fundamentals for Project Managers
Key areas covered:
Comprehending Large Language Models (LLMs)
Essential AI concepts: prompting, hallucination, and context
Distinguishing AI systems from conventional automation
Overview of the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating how AI tools generate and interpret text
Module 2: Prompt Engineering for Project Management
Key areas covered:
Foundations of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Tailoring prompts for specific project management tasks
Assessing and refining AI responses
Hands-on exercises creating prompts for various project scenarios
Module 3: AI in Project Initiation
Key areas covered:
Drafting project charters with AI assistance
Creating project objectives and scope definitions
Automating the analysis of stakeholders
Using AI to identify initial project risks
Reviewing AI-generated content for precision and thoroughness
Module 4: AI in Planning and Scheduling
Key areas covered:
Developing Work Breakdown Structures (WBS) with AI
Constructing milestone plans and project timelines
Applying AI-assisted estimation methods
Generating recommendations for resource allocation
Optimizing planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Key areas covered:
Conducting predictive risk analysis using AI
Compiling risk registers based on project descriptions
Utilizing AI for issue classification and triage
Formulating mitigation strategies with AI support
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Key areas covered:
Automating the project reporting process
Drafting executive summaries from project data
Adjusting tone and communication style to suit different stakeholders
Converting technical details into business-oriented updates
Handling sensitive communications with the aid of AI
Module 7: AI Ethics and Governance in Projects
Key areas covered:
Recognizing AI bias and the risks of hallucination
Practicing responsible AI use in professional settings
Navigating data privacy concerns and the 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
Key areas covered:
Utilizing Microsoft Copilot within Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI solutions
Comparing various AI tools for project management support
Creating an AI adoption roadmap for project teams
Formulating a personal AI action plan for project work
Requirements
To get the most out of this course, participants should possess foundational experience in project environments or within project teams. A working familiarity with core project management principles, such as planning, risk management, and stakeholder communication, is advised.
Previous exposure to Artificial Intelligence tools is not necessary.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
