Course Outline
Module 1: Foundations of AI for Project Managers
Key areas covered:
Grasping the mechanics of Large Language Models (LLMs)
Essential AI concepts: prompting, hallucination, and context
Distinguishing AI systems from conventional automation
A look at the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations on how AI tools process and interpret text
Module 2: Prompt Engineering for Project Management
Key areas covered:
Basics of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Tailoring prompts for specific project management tasks
Assessing and refining AI-generated responses
Hands-on exercises: crafting prompts for realistic project scenarios
Module 3: AI in Project Initiation
Key areas covered:
Drafting project charters with AI assistance
Formulating project objectives and scope statements
Streamlining stakeholder analysis with automation
Identifying early-stage project risks with AI support
Reviewing AI outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Key areas covered:
Generating Work Breakdown Structures (WBS) via AI
Developing milestone plans and project timelines
Applying AI-assisted estimation methods
Creating resource allocation recommendations
Optimizing planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Key areas covered:
Conducting predictive risk analysis with AI
Compiling risk registers from project descriptions
Classifying and triaging issues with AI assistance
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
Tuning tone and communication style for diverse stakeholders
Converting technical details into accessible business updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Key areas covered:
Recognizing AI bias and hallucination risks
Practicing responsible AI use in professional settings
Navigating data privacy concerns and GDPR compliance
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 across Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI solutions
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Creating a personalized AI action plan for project work
Requirements
Prospective participants are expected to possess foundational experience within project teams or broader project environments. A solid grasp of standard project management principles, including planning, risk management, and stakeholder communication, is strongly advised.
Prior familiarity with Artificial Intelligence tools is not a requirement.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
