Course Outline
Module 1: AI Fundamentals for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Essential AI concepts: prompting, hallucination, and context
Distinguishing AI systems from traditional automation
An overview of the AI tools covered in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating text generation and interpretation capabilities of AI tools
Module 2: Prompt Engineering for Project Management
Subtopics:
The basics of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts specifically for project management duties
Critically evaluating and refining AI responses
Hands-on exercises creating prompts 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 processes
Identifying early-stage project risks with AI support
Verifying the accuracy and completeness of AI-generated content
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project schedules
AI-assisted estimation methods
Creating suggestions for resource allocation
Optimizing planning deliverables through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis with AI
Creating risk registers from project overviews
Classifying and triaging issues with AI support
Formulating mitigation strategies with AI assistance
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating the creation of project reports
Drafting executive summaries based on project data
Tailoring tone and style to suit diverse stakeholders
Converting technical details into accessible business updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing risks related to AI bias and hallucination
Implementing responsible AI practices in professional settings
Navigating data privacy and GDPR requirements
Establishing AI usage policies within project teams
Applying human-in-the-loop validation methods
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Integrating Microsoft Copilot into 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
Developing individual AI action plans for project tasks
Requirements
It is recommended that participants possess foundational experience within project-based environments or teams. A general grasp of core project management principles, such as planning, risk oversight, and stakeholder communication, is advised.
Previous 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.