Get in Touch

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
Overview of AI tools featured in the course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations 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 for project management applications
Assessing and refining AI responses
Practical exercises in crafting prompts for project scenarios

Module 3: AI in Project Initiation

Subtopics:
AI-assisted drafting of project charters
Formulating project objectives and scope statements
Automating stakeholder analysis
Identifying early project risks with AI support
Evaluating 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 suggestions for resource allocation
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
Organizing risk information using tables and structured prompts

Module 6: AI in Stakeholder Communication

Subtopics:
Automating project reporting
Generating executive summaries from project data
Adjusting tone and communication style for various stakeholders
Converting technical information 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
Ethical use of AI 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:
Utilizing Microsoft Copilot in Word, Excel, Teams, and Outlook
Determining when to use Copilot versus ChatGPT or other AI tools
Comparing different AI tools for project management support
Constructing an AI adoption roadmap for project teams
Creating a personal AI action plan for project work

Requirements

Participants are expected to possess foundational experience within project environments or project teams. While not mandatory, familiarity with core project management principles—such as planning, risk management, and stakeholder communication—is recommended.

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

Testimonials (3)

Upcoming Courses

Related Categories