Course Outline
Module 1: Foundations of AI for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and traditional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of how AI tools generate and interpret textual data
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals of prompt design
Techniques: Zero-shot, few-shot, and role-based prompting
Structuring prompts specifically for project management tasks
Evaluating and refining responses from AI
Practical exercises involving prompt creation for project scenarios
Module 3: Leveraging AI in Project Initiation
Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Automating stakeholder analysis processes
Utilizing AI to identify early-stage project risks
Assessing AI-generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Subtopics:
Creating Work Breakdown Structures (WBS) via AI
Developing milestone plans and project timelines
AI-enhanced estimation techniques
Generating suggestions for resource allocation
Refining planning outputs through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics:
Predictive risk analysis using AI
Deriving risk registers from project descriptions
AI-assisted classification and triage of issues
Developing mitigation strategies supported by AI
Organizing risk information using tables and structured prompts
Module 6: Enhancing Stakeholder Communication with AI
Subtopics:
Automating the project reporting process
Generating executive summaries from raw project data
Adjusting tone and communication style for diverse stakeholders
Translating technical details into business-friendly updates
Managing sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing risks related to AI bias and hallucination
Ensuring responsible AI usage in professional settings
Data privacy considerations 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 Strategy
Subtopics:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI platforms
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Creating a personal action plan for integrating AI into project work
Requirements
Attendees should possess foundational experience within project environments or project teams. A working knowledge of core project management principles—such as planning, risk management, and stakeholder communication—is advised.
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.