The book covers essential technical implementations from ML fundamentals through advanced deployment strategies, focusing on practical patterns.Core topics include Kubernetes-native GPU scheduling and resource management, MLOps pipeline architectures using Kubeflow/MLflow, and advanced model serving patterns.It details data management architectures, vector databases, and RAG systems, alongside monitoring solutions with Prometheus/Grafana.Finally, we will look at some advanced concerns for production in the realm of security and data reliability.