Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Grasping the mechanics of Large Language Models (LLMs)
Essential AI concepts: prompting, hallucination, and context
Distinguishing between AI systems and conventional automation
Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations of text generation and interpretation by AI tools
Module 2: Prompt Engineering for Project Management
Subtopics:
Core principles of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Tailoring prompts for specific project management duties
Assessing and optimizing AI responses
Hands-on exercises creating prompts for realistic project scenarios
Module 3: AI in Project Initiation
Subtopics:
Drafting project charters with AI support
Formulating project goals and scope statements
Streamlining stakeholder analysis
Identifying initial project risks with AI assistance
Verifying the accuracy and completeness of AI-generated outputs
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) with AI
Developing milestone plans and project schedules
AI-driven estimation methods
Proposing resource allocations
Refining planning results through structured prompting
Module 5: AI in Risk and Issue Management
Subtopics:
Conducting predictive risk analysis using AI
Creating risk registers based on project descriptions
Categorizing and triaging issues with AI support
Formulating mitigation strategies with AI assistance
Organizing risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating the project reporting process
Creating executive summaries from project data
Modifying tone and style to suit different stakeholders
Converting technical details into business-oriented updates
Handling sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognizing AI bias and hallucination risks
Practicing responsible AI use in professional settings
Navigating data privacy and GDPR implications
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation methods
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to choose Copilot over ChatGPT or other AI solutions
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for teams
Creating a personal AI action plan for project tasks
Requirements
Participants are expected to possess foundational experience in project settings or within project teams. A working knowledge of core project management principles—such as planning, risk management, and stakeholder communication—is advisable.
No previous familiarity with Artificial Intelligence tools is necessary.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
