AI Engineering explores the design, deployment, and maintenance of artificial intelligence systems in production. It focuses on the challenges of scaling AI beyond research, covering data pipelines, model lifecycle management, MLOps practices, cloud deployment, ethics, and governance. Written for engineers and data scientists, the book bridges the gap between theory and real-world applications.