Managing AI Projects
Drive Innovation and Successfully Navigate the Full AI Project Lifecycle
Published on 2. June 2026
Book
Paperback/Softback
200 pages
979-8-3416-4101-3 (ISBN)
Description
Successfully delivering AI projects requires more than technical expertise-it demands a new kind of project management. Managing AI Projects is your practical guide to leading artificial intelligence initiatives from idea to production. Written by seasoned experts Malini Jain Runtasewee and Adria n Gonza lez Sa nchez, this book blends traditional project management principles with the realities of AI development, helping you structure projects, manage uncertainty, and drive real outcomes.
Whether you're a project manager, engineer, or product lead, you'll learn how to plan AI initiatives, manage risk, support iterative experimentation, and align technical and business teams. With practical tools, real-world examples, and a focus on both traditional and generative AI, this book helps ensure your AI projects deliver impact beyond just initial pilots and prototypes.
Structure AI projects from ideation through deployment
Manage uncertainty, experimentation, and changing requirements
Bridge technical and nontechnical teams effectively
Reduce risk and increase success using proven practices
Deliver AI initiatives that align with business goals and timelines
Develop an applied AI project management handbook for your day-to-day initiatives
Whether you're a project manager, engineer, or product lead, you'll learn how to plan AI initiatives, manage risk, support iterative experimentation, and align technical and business teams. With practical tools, real-world examples, and a focus on both traditional and generative AI, this book helps ensure your AI projects deliver impact beyond just initial pilots and prototypes.
Structure AI projects from ideation through deployment
Manage uncertainty, experimentation, and changing requirements
Bridge technical and nontechnical teams effectively
Reduce risk and increase success using proven practices
Deliver AI initiatives that align with business goals and timelines
Develop an applied AI project management handbook for your day-to-day initiatives
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Dimensions
Height: 232 mm
Width: 178 mm
ISBN-13
979-8-3416-4101-3 (9798341641013)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Malini Jain is a Senior Cloud & Data Project Manager at Toptal, and a university lecturer with EOI and EIP International Business School for data & AI project management courses. She is also co-author of an AI fundamentals book with ANAYA Multimedia. She has managed projects and international level with organizations in Canada and USA. Adrian Gonzalez Sanchez is an AI Architect at Microsoft, and an O'Reilly author of three books (KCNA Study Guide, Azure OpenAI Service for Cloud Native Applications, Generative AI on Microsoft Azure) and two reports (Cloud Migration for AI Readiness, Linux and Open Source on Azure). He is a trainer for the Eole des Dirigeants at HEC Montreal and IE Business School, and he has authored online courses for LinkedIn Learning, O'Reilly Media, The Linux Foundation, and DeepLearning.ai. He also collaborates with 2U / GetSmarter for MIT Sloan's AI and Blockchain executive courses, and Harvard VPAL's Fintech course.