Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Understanding Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, context
Distinctions between AI systems and traditional automation
Overview of AI tools featured in the 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 responses
Practical exercises in writing prompts for project scenarios
Module 3: AI in Project Initiation
Subtopics:
AI-assisted drafting of project charters
Generating project objectives and scope statements
Automating stakeholder analysis
AI-supported identification of early project risks
Assessing AI-generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Subtopics:
AI-generated Work Breakdown Structures (WBS)
Creating milestone plans and project timelines
AI-assisted estimation techniques
Generating resource allocation suggestions
Refining planning outputs through structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Predictive risk analysis with AI
Generating risk registers from project descriptions
AI-assisted issue classification and triage
Developing mitigation strategies with AI support
Structuring risk information using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating project reporting
Generating executive summaries from project data
Adapting tone and communication style for various stakeholders
Converting technical information into business-friendly updates
Managing sensitive communication with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Understanding AI bias and hallucination risks
Responsible use of AI in professional settings
Data privacy considerations and GDPR context
Defining AI usage policies within project teams
Human-in-the-loop validation practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Leveraging Microsoft Copilot in Word, Excel, Teams, and Outlook
Choosing between Copilot, ChatGPT, and other AI tools
Comparing different AI tools for project management support
Building an AI adoption roadmap for project teams
Developing a personal AI action plan for project work
Requirements
Participants should possess foundational experience in project environments or project teams. A familiarity with core project management principles, including planning, risk management, and stakeholder communication, is recommended.
No previous experience with Artificial Intelligence tools is necessary.
Testimonials (3)
The tool, the trainer’s expertise, and the option to conduct the session remotely
Marina Dos Santos - Olisipo
Course - JIRA for Beginners
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.