Overview

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Generative AI is rapidly transforming how project managers plan, monitor, and deliver complex initiatives. As organizations increasingly adopt AI-driven tools, project professionals must learn how to leverage these technologies to improve efficiency, enhance decision-making, and deliver projects more predictably. This course provides project managers, PMO leaders, and delivery professionals with a practical introduction to applying generative AI (GenAI) in project and portfolio management. Throughout the course, you will gain hands-on experience designing AI-assisted workflows through demonstrations, guided exercises, and a course-end project. You will learn how GenAI tools assist with generating project charters, meeting summaries, status reports, and other project artifacts, while also supporting predictive delivery, portfolio prioritization, resource optimization, and strategic governance within a PMO. By the end of the course, you will be able to identify practical GenAI use cases within your own project environments, apply prompt engineering techniques to generate project artifacts, and leverage AI insights to improve delivery forecasting and portfolio management decisions.

Syllabus

Foundations and High-Value GenAI Use Cases for Project Managers

This module introduces the foundational concepts of generative AI and explores how these technologies can enhance project and portfolio management practices. Learners will gain a practical understanding of how large language models (LLMs), natural language processing, and AI-driven analytics can support everyday project management activities such as reporting, documentation, communication, and risk analysis. The module also highlights high-value GenAI use cases across the project lifecycle from initiation and planning to monitoring and closing, showing how AI can reduce administrative overhead and improve decision support. Finally, learners will explore prompt engineering techniques that enable project managers to effectively interact with AI tools and generate reliable project artifacts such as risk registers, status reports, and project plans.

Predictive Delivery and Strategic Portfolio Management with GenAI

This module focuses on how generative AI can enhance project delivery predictability and support strategic decision-making at both the project and portfolio levels. Learners will explore how AI tools analyze project schedules, historical performance data, and project documentation to identify delivery risks, forecast schedule delays, and provide early warning signals before problems escalate. The module also introduces AI-assisted approaches to risk management, scope change analysis, and portfolio governance. Participants will learn how GenAI can help project managers evaluate change requests, simulate delivery scenarios, and optimize resource allocation across multiple projects. Through practical demonstrations and applied exercises, learners will develop the skills required to use AI tools to improve forecasting accuracy, strengthen portfolio visibility, and support better strategic investment decisions.