Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Gaining insight into Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and conventional automation
Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations of text generation and interpretation using AI tools
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals 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 involving prompt creation for various project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI assistance
Formulating project objectives and scope definitions
Streamlining stakeholder analysis
Identifying early-stage project risks with AI support
Reviewing AI-generated content for precision and completeness
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
Leveraging AI for estimation techniques
Producing resource allocation recommendations
Optimizing planning results through structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Compiling risk registers from project descriptions
Classifying and prioritizing issues with AI assistance
Formulating mitigation strategies with AI support
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Streamlining project reporting processes
Creating executive summaries from project data
Adjusting tone and communication style for various stakeholder groups
Converting technical details into accessible business updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing risks associated with AI bias and hallucination
Practicing responsible AI use in professional settings
Considering data privacy and the GDPR framework
Establishing AI usage policies for project teams
Implementing human-in-the-loop verification practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI solutions
Evaluating various AI tools for project management assistance
Creating an AI adoption roadmap for project teams
Formulating a personal AI action plan for project work
Requirements
Candidates should possess foundational experience working within project settings or teams. It is advisable to be familiar with general project management principles, including planning, risk management, and stakeholder engagement.
No previous experience with 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.
