Course Outline
Module 1: Foundational Concepts of AI for Project Managers
Key Topics:
Overview of Large Language Models (LLMs)
Core AI principles: prompting, hallucination, and context
Distinctions between AI systems and traditional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of how AI generates and interprets textual data
Module 2: Prompt Engineering for Project Management Applications
Key Topics:
Fundamentals of prompt design
Techniques: zero-shot, few-shot, and role-based prompting
Structuring prompts specifically for project management objectives
Evaluating and refining responses from AI systems
Practical exercises focused on writing prompts for real-world project scenarios
Module 3: Leveraging AI during Project Initiation
Key Topics:
AI-assisted drafting of project charters
Generating clear project objectives and scope statements
Automating stakeholder analysis processes
Identifying early-stage project risks with AI support
Assessing AI-generated outputs for accuracy and comprehensiveness
Module 4: AI in Planning and Scheduling Processes
Key Topics:
Creating Work Breakdown Structures (WBS) with AI assistance
Developing milestone plans and project timelines
AI-supported estimation techniques
Generating suggestions for resource allocation
Refining planning artifacts through structured prompting
Module 5: Managing Risks and Issues with AI
Key Topics:
Predictive risk analysis using AI capabilities
Building risk registers directly from project descriptions
AI-assisted classification and prioritization of issues
Formulating mitigation strategies supported by AI
Organizing risk data effectively using tables and structured prompts
Module 6: Enhancing Stakeholder Communication with AI
Key Topics:
Automating the production of project reports
Creating executive summaries from raw project data
Adjusting tone and communication style for diverse audiences
Translating technical details into business-friendly updates
Handling sensitive communications with AI assistance
Module 7: Ethical Considerations and Governance in Projects
Key Topics:
Understanding risks related to AI bias and hallucination
Principles for responsible AI use in professional settings
Data privacy requirements and GDPR implications
Establishing AI usage policies within project teams
Implementing 'human-in-the-loop' validation practices
Module 8: AI Tools for Project Managers and Adoption Strategies
Key Topics:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Guidelines for choosing between Copilot, ChatGPT, or other AI tools
Comparing various AI solutions for project management support
Creating an adoption roadmap for project teams
Developing a personalized action plan for integrating AI into daily work
Requirements
Attendees should possess foundational experience in project environments or project teams. A working knowledge of core project management principles—such as planning, risk management, and stakeholder communication—is recommended.
No previous exposure to 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.
