This book introduces the different components of a successful AI project. Getting some data and writing some code is not sufficient to successfully manage an AI project. It has to start from the bigger picture of what the project needs to achieve. Once the objective is clear, the project has to be organized in the way it is the most effective. This book covers the project from a project management perspective and is part of the Artificial Intelligence Handbook Series. The companion volume, The AI Model Handbook, goes over the different machine learning models in detail. The third volume, The AI Strategy Handbook, covers business strategy, how to use AI to gain some competitive advantage. The fourth volume, The AI for Good Handbook, details how to meet the sustainable development goals with AI.