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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.

 14 Hours

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.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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