Course Outline
Module 1: AI Foundations for Project Managers
Key topics:
Grasping Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and traditional automation
Survey of AI tools utilized in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of AI text generation and interpretation processes
Module 2: Prompt Engineering for Project Management
Key topics:
Fundamentals of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Formatting prompts for specific project management tasks
Assessing and refining AI responses
Hands-on exercises in crafting prompts for project scenarios
Module 3: AI in Project Initiation
Key topics:
AI-assisted drafting of project charters
Creating project objectives and scope statements
Automating stakeholder analysis
AI-supported identification of initial project risks
Validating AI-generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Key topics:
AI-generated Work Breakdown Structures (WBS)
Developing milestone plans and project timelines
AI-assisted estimation methodologies
Generating resource allocation recommendations
Refining planning results through structured prompts
Module 5: AI in Risk and Issue Management
Key topics:
Predictive risk analysis using AI
Creating risk registers from project descriptions
AI-assisted 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 topics:
Automating project reporting
Producing executive summaries from project data
Adjusting tone and communication style for diverse stakeholders
Converting technical details into business-friendly updates
Handling sensitive communications with AI assistance
Module 7: AI Ethics and Governance in Projects
Key topics:
Understanding AI bias and hallucination risks
Ethical application of AI in professional settings
Data privacy considerations and 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 topics:
Utilizing Microsoft Copilot within Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI tools
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Developing a personal AI action plan for project work
Requirements
Participants are expected to have foundational experience working within project environments or teams. A working knowledge of core project management principles, such as planning, risk management, and stakeholder communication, is advisable.
Prior exposure to Artificial Intelligence tools is not required.
Testimonials (3)
The framework of BA
Puguh - PT PLN INDONESIA POWER
Course - PMI Professional in Business Analysis (PBA) Certification Preparation
Good atmosphere, good group vibe and trainers passion.
Miriam - metafinanz Informationssysteme GmbH
Course - PMP - Exam Preparation Training Course
presenting the possibilities of Trello
