Course Outline
Module 1: AI Fundamentals for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinctions between AI systems and traditional automation
Introduction to AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of AI text generation and interpretation capabilities
Module 2: Prompt Engineering for Project Management
Subtopics:
Fundamentals of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts for specific project management tasks
Evaluating and refining AI responses
Practical exercises involving prompt creation for project scenarios
Module 3: AI Application in Project Initiation
Subtopics:
AI-assisted drafting of project charters
Generating project objectives and scope statements
Automating stakeholder analysis
AI-supported identification of early project risks
Assessing AI-generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Subtopics:
AI-generated Work Breakdown Structures (WBS)
Developing milestone plans and project timelines
AI-assisted estimation techniques
Generating resource allocation recommendations
Refining planning outputs through structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Predictive risk analysis using AI
Creating risk registers from project descriptions
AI-assisted issue classification and triage
Developing mitigation strategies with AI support
Structuring risk data using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics:
Automating project reporting
Generating executive summaries from project data
Adapting tone and communication style for diverse stakeholders
Transforming technical data into business-friendly updates
Managing sensitive communications with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Understanding AI bias and hallucination risks
Responsible AI utilisation in professional settings
Data privacy considerations and GDPR context
Establishing AI usage policies within project teams
Human-in-the-loop validation practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Utilising Microsoft Copilot in Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI tools
Comparing various AI tools for project management support
Constructing an AI adoption roadmap for project teams
Developing a personal AI action plan for project work
Requirements
Participants should possess foundational experience working within project environments or project teams. Familiarity with core project management principles, including planning, risk management, and stakeholder communication, is advisable.
Prior experience with Artificial Intelligence tools is not required.
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 (4)
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.
Miriam - metafinanz Informationssysteme GmbH
Course - PMP - Exam Preparation Training Course
Paul was a fantastic trainer. I enjoyed his style of teaching and delivery pace
Adeola
Course - Professional Scrum Master II | PSM II (Scrum.org accredited training course)
Really pragmatic. Lots of detailed discussions, practical exercises. Constructive debates.