Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinguishing AI systems from traditional automation
Introduction to the AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrating text generation and interpretation capabilities of AI tools
Module 2: Prompt Engineering for Project Management
Subtopics:
Foundations of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts specifically for project management tasks
Assessing and refining AI responses
Practical exercises involving prompt creation for various project scenarios
Module 3: AI in Project Initiation
Subtopics:
AI-assisted drafting of project charters
Generating project objectives and scope statements
Streamlining stakeholder analysis through automation
Identifying early-stage project risks with AI support
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 timelines
Applying AI-assisted estimation techniques
Generating recommendations for resource allocation
Refining planning outputs 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
Classifying and triaging issues with AI assistance
Formulating mitigation strategies supported by AI
Organising risk information using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating the project reporting process
Producing executive summaries from raw project data
Adapting tone and communication style to suit different stakeholder groups
Converting technical information into accessible, business-friendly updates
Managing sensitive communications with AI support
Module 7: AI Ethics and Governance in Projects
Subtopics:
Recognising risks related to AI bias and hallucination
Implementing responsible AI use in professional settings
Addressing data privacy considerations within the context of GDPR
Establishing AI usage policies within project teams
Applying human-in-the-loop validation practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Utilising Microsoft Copilot across Word, Excel, Teams, and Outlook
Determining when to employ Copilot versus ChatGPT or other AI alternatives
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Formulating a personal AI action plan for project work
Requirements
Candidates are expected to possess foundational experience operating within project environments or cross-functional project teams. A working familiarity with core project management disciplines—such as planning, risk oversight, and stakeholder engagement—is advisable for optimal participation.
Prior proficiency with Artificial Intelligence tools is not a prerequisite for enrolment.
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 2600 € + 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.
