Course Outline
Module 1: AI Foundations for Project Managers
Subtopics: Understanding Large Language Models (LLMs) Key AI concepts: prompting, hallucination, context Distinguishing AI systems from traditional automation Overview of the AI tools utilized in this course (ChatGPT, Claude, Microsoft Copilot) Demonstration of text generation and interpretation by AI tools
Module 2: Prompt Engineering for Project Management
Subtopics: Fundamentals of prompt design Zero-shot, few-shot, and role-based prompting techniques Structuring prompts for specific project management tasks Evaluating and refining AI-generated responses Hands-on exercises creating prompts for real-world project scenarios
Module 3: AI in Project Initiation
Subtopics: Drafting project charters with AI assistance Generating project objectives and defining scope statements Automating stakeholder analysis processes Identifying early-stage project risks with AI support Assessing the accuracy and completeness of AI-generated outputs
Module 4: AI in Planning and Scheduling
Subtopics: Generating Work Breakdown Structures (WBS) using AI Developing milestone plans and project timelines Employing AI-assisted estimation techniques Generating recommendations for resource allocation Refining planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics: Conducting predictive risk analysis with AI Creating risk registers based on project descriptions Classifying and triaging issues with AI assistance Developing mitigation strategies supported by AI Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics: Automating the creation of project reports Generating executive summaries from raw project data Adjusting tone and communication style for various stakeholders Converting technical details into business-oriented updates Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics: Recognizing AI bias and hallucination risks Practicing responsible AI use in professional settings Considering data privacy and the context of GDPR Establishing AI usage policies within project teams Implementing human-in-the-loop validation 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 tools 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
While no specific prerequisites are mandatory, participants are advised to possess foundational experience in project environments or team settings. A working knowledge of core project management principles, including planning, risk management, and stakeholder communication, is highly recommended to maximize the learning experience.
Prior experience with Artificial Intelligence tools is not required.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
