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Managing AI Projects with PMI-CPMAI

A Practitioner's Guide to Delivering AI Projects with PMI-CPMAI

Managing AI Projects with PMI-CPMAI

The six-phase method for delivering AI projects, from the first business question to production monitoring. One chapter per phase, each closing on its deliverables and decision gate, with a single case study running the full length of the book. 82 diagrams, 78 tables, 15 reusable templates, and a certification track for readers preparing PMI-CPMAI.

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About

About

About the Book

Most AI projects do not fail because the technology does not work. They fail because the business problem was never clear, the data was not ready, the right people were not engaged, or no one planned for life after deployment. Those are project management problems, and this book gives you the method to solve them.

Managing AI Projects with PMI-CPMAI walks through the six phases of the CPMAI life cycle, one chapter each, from Business Understanding to Operationalization. Every phase closes on its deliverables and its decision gate, so you always know what has to exist before the project moves forward. A single case study, RetentionRadar, runs from the first business question to production monitoring.

Fourteen of the sixteen chapters are about delivery practice. Two are about the exam.

Part 1, Foundations. What makes AI projects different, and how the CPMAI methodology is built.

Part 2, The CPMAI Life Cycle. The six phases in order, with inputs, outputs, deliverables, and decision gates.

Part 3, Responsible AI. Governance, privacy and security, fairness and bias, transparency and explainability, human oversight, and generative AI.

Part 4, Certification Track. Optional. Two chapters on the exam, its five domains and their published weights, and how to read a question under time pressure.

Inside: 330 pages, 16 chapters, 5 appendices, 82 original diagrams, 78 tables, 15 reusable deliverable templates, and a matrix mapping all 37 Examination Content Outline tasks to the chapter that teaches each one.

Written for project managers, PMO and programme professionals, product managers, business analysts, transformation leads, consultants, and technology managers taking on AI initiatives. You do not need to become a data scientist to lead AI projects well.

If you are preparing for the PMI-CPMAI credential, Part 4 and Appendix A are built for you. The official PMI course remains the authoritative source and a prerequisite for sitting the exam. What this book adds is an order to learn in, a map from the Examination Content Outline to the chapters, and a worked example throughout. This book does not guarantee any exam result.

PMI, PMP, PMI-PMOCP, CPMAI, and PMI-CPMAI are trademarks or registered trademarks of the Project Management Institute, Inc. This book is an independent publication. It is not affiliated with, authorized by, sponsored by, or otherwise approved by the Project Management Institute, Inc.

Author

About the Author

Lamjed CHIHAOUI

Lamjed Chihaoui is a project manager, trainer, and author with more than ten years of experience across banking, retail, e-commerce, and government. He holds an engineering degree in computer science and the PMP, PMI-PMOCP, and PMI-CPMAI credentials. He trains project management professionals on PMI standards and works on AI adoption and responsible AI practice in real delivery settings.

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