Course Outline
Module 1: Core AI Concepts for Project Managers
Key Topics:
Comprehending Large Language Models (LLMs)
Essential AI principles: prompting, hallucination, and context management
Distinguishing between AI systems and conventional automation
Survey of AI tools utilized in this course (ChatGPT, Claude, Microsoft Copilot)
Live demonstration of how AI tools generate and interpret textual content
Module 2: Mastering Prompt Engineering for Project Management
Key Topics:
Fundamentals of prompt design
Techniques: Zero-shot, few-shot, and role-based prompting
Orienting prompts specifically for project management objectives
Assessing and optimizing AI responses
Hands-on exercises in crafting prompts for real-world project scenarios
Module 3: Leveraging AI during Project Initiation
Key Topics:
Utilizing AI to draft project charters
Formulating project objectives and scope definitions
Automating stakeholder analysis processes
Employing AI to identify potential early-stage risks
Validating AI-generated outputs for precision and completeness
Module 4: Utilizing AI for Planning and Scheduling
Key Topics:
AI-generated Work Breakdown Structures (WBS)
Developing milestone schedules and project timelines
AI-assisted estimation methodologies
Deriving resource allocation recommendations from AI
Refining planning artifacts through structured prompting techniques
Module 5: AI Applications in Risk and Issue Management
Key Topics:
Predictive risk analysis powered by AI
Constructing risk registers directly from project descriptions
AI-assisted classification and triage of issues
Formulating mitigation strategies with AI support
Organizing risk data using tables and structured prompts
Module 6: Enhancing Stakeholder Communication via AI
Key Topics:
Automating the project reporting process
Generating executive summaries from project metrics
Adjusting tone and communication style for diverse audiences
Translating technical details into business-oriented updates
Navigating sensitive communications with AI assistance
Module 7: Ethics and Governance of AI in Projects
Key Topics:
Recognizing risks associated with AI bias and hallucination
Ethical deployment of AI in professional settings
Data privacy implications and GDPR compliance context
Establishing AI usage policies within project teams
Implementing 'human-in-the-loop' validation protocols
Module 8: Selecting AI Tools for Project Managers and Formulating an Adoption Strategy
Key Topics:
Maximizing the utility of Microsoft Copilot across Word, Excel, Teams, and Outlook
Strategic selection: When to utilize Copilot versus ChatGPT or alternative tools
Evaluating various AI platforms for project management support
Constructing an AI adoption roadmap tailored for project teams
Creating a personal action plan for integrating AI into daily project workflows
Requirements
Participants are expected to possess foundational experience in project environments or within project teams. A working knowledge of core project management principles, such as scheduling, risk mitigation, and stakeholder communication, is advisable.
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.
