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Course Outline

Module 1: AI Foundations for Project Managers

Subtopics:
Comprehending Large Language Models (LLMs)
Core AI concepts: prompting, hallucination, and context
Distinctions between AI systems and traditional automation
Survey of AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Live demonstration of how AI tools generate and interpret text

Module 2: Prompt Engineering for Project Management

Subtopics:
Fundamentals of prompt design
Zero-shot, few-shot, and role-based prompting techniques
Structuring prompts specifically for project management tasks
Assessing and refining AI responses
Hands-on exercises involving prompt creation for various project scenarios

Module 3: AI in Project Initiation

Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Automating stakeholder analysis
Utilizing AI to identify early-stage project risks
Evaluating AI-generated outputs for accuracy and comprehensiveness

Module 4: AI in Planning and Scheduling

Subtopics:
AI-generated Work Breakdown Structures (WBS)
Developing milestone plans and project timelines
AI-assisted estimation methodologies
Generating resource allocation recommendations
Refining planning outcomes through structured prompting

Module 5: AI in Risk and Issue Management

Subtopics:
Predictive risk analysis powered by AI
Creating risk registers from project descriptions
AI-assisted classification and triage of issues
Developing mitigation strategies with AI support
Organizing risk data using tables and structured prompts

Module 6: AI in Stakeholder Communication

Subtopics:
Automating project reporting processes
Producing executive summaries from project data
Adapting tone and communication style for diverse stakeholders
Converting technical details 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 utilization of AI in professional settings
Data privacy considerations within the GDPR context
Establishing AI usage policies for project teams
Implementing 'human-in-the-loop' validation practices

Module 8: AI Tools for Project Managers and Adoption Strategy

Subtopics:
Leveraging Microsoft Copilot in Word, Excel, Teams, and Outlook
Deciding 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
Formulating a personal AI action plan for daily project work

Requirements

Participants should possess fundamental experience in project environments or within project teams. A working knowledge of core project management principles, such as planning, risk management, and stakeholder communication, is advisable.

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

Number of participants


Price per participant

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