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Course Outline

Module 1: Foundational Concepts of AI for Project Managers

Subtopics:
Comprehending Large Language Models (LLMs)
Core AI principles: prompting techniques, hallucination phenomena, and context management
Distinctions between AI systems and conventional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations of how AI tools generate and interpret textual content

Module 2: Prompt Engineering Strategies for Project Management

Subtopics:
Fundamentals of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Organizing prompts specifically for project management objectives
Methods for evaluating and refining AI responses
Practical sessions focused on writing prompts for real-world project scenarios

Module 3: Utilizing AI during Project Initiation

Subtopics:
Drafting project charters with AI assistance
Formulating project objectives and scope statements
Automating the stakeholder analysis process
Identifying early-stage project risks with AI support
Assessing AI-generated outputs for accuracy and comprehensiveness

Module 4: AI in Planning and Scheduling

Subtopics:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
Applying AI-assisted estimation methodologies
Obtaining suggestions for resource allocation
Enhancing planning outputs through structured prompting

Module 5: Managing Risks and Issues with AI

Subtopics:
Conducting predictive risk analysis via AI
Creating risk registers from project descriptions
Classifying and triaging issues with AI assistance
Developing mitigation strategies supported by AI
Organizing risk data using tables and structured prompts

Module 6: Enhancing Stakeholder Communication with AI

Subtopics:
Automating the creation of project reports
Producing executive summaries from project data
Adjusting tone and communication style for diverse audiences
Translating technical details into business-oriented updates
Handling sensitive communications with AI support

Module 7: Ethics and Governance in AI-Driven Projects

Subtopics:
Recognizing risks related to AI bias and hallucination
Ensuring responsible AI utilization in professional settings
Addressing data privacy concerns and GDPR compliance
Establishing AI usage policies within project teams
Implementing 'human-in-the-loop' validation practices

Module 8: AI Tool Selection and Adoption Strategy for Project Managers

Subtopics:
Leveraging Microsoft Copilot within Word, Excel, Teams, and Outlook
Determining when to utilize Copilot versus ChatGPT or other AI platforms
Comparing various AI tools for specific project management needs
Constructing an AI adoption roadmap for project teams
Creating a personalized AI action plan for project workflows

Requirements

Participants are expected to possess foundational experience working within project environments or project teams. A working knowledge of core project management principles—such as planning, risk management, and stakeholder communication—is highly recommended.

No previous exposure to Artificial Intelligence tools is necessary.

 14 Hours

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