Course Outline
Module 1: AI Foundations for Project Managers
Subtopics:
Understanding Large Language Models (LLMs)
Key AI concepts: prompting, hallucination, context
Differences between AI systems and traditional automation
Overview of AI tools used in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstration of how AI tools generate and interpret text
Module 2: Prompt Engineering for Project Management
Subtopics:
Prompt design fundamentals
Zero shot, few shot and role based prompting
Structuring prompts for project management tasks
Evaluating and refining AI responses
Practical exercises writing prompts for project scenarios
Module 3: AI in Project Initiation
Subtopics:
AI assisted project charter drafting
Generating project objectives and scope statements
Automating stakeholder analysis
AI supported identification of early project risks
Evaluating AI generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Subtopics:
AI generated Work Breakdown Structures (WBS)
Creating milestone plans and project timelines
AI assisted estimation techniques
Generating resource allocation suggestions
Refining planning outputs using structured prompts
Module 5: AI in Risk and Issue Management
Subtopics:
Predictive risk analysis with AI
Generating risk registers from project descriptions
AI assisted issue classification and triage
Developing mitigation strategies using AI support
Structuring risk information 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 different stakeholders
Transforming technical information into business friendly updates
Managing sensitive communication with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics:
Understanding AI bias and hallucination risks
Responsible use of AI in professional environments
Data privacy considerations and GDPR context
Defining AI usage policies within project teams
Human in the loop validation practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics:
Using Microsoft Copilot in Word, Excel, Teams and Outlook
When to use Copilot versus ChatGPT or other AI tools
Comparing different AI tools for project management support
Building an AI adoption roadmap for project teams
Developing a personal AI action plan for project work
Requirements
Participants should have basic experience working in project environments or project teams. Familiarity with general project management concepts such as planning, risk management and stakeholder communication is recommended.
No prior experience with Artificial Intelligence tools is required
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Testimonials (4)
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Puguh - PT PLN INDONESIA POWER
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As it is lot of content I really liked the working exercises
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Really pragmatic. Lots of detailed discussions, practical exercises. Constructive debates.
Echardt - BMW SA
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Great attiude of trainer and real life examples not just dry theory.