Scaling Up Machine Learning

MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations

Pre-Owned Machine Learning Engineering on AWS: Build scale and secure machine learning systems and MLOps (Paperback) by Joshua Arvin Lat

MLOps Lifecycle Toolkit

Machine Learning in the Cloud: Automate and Scale Machine Learning Pipelines in the Cloud

MLOps Engineering at Scale

Pro DevOps with Google Cloud Platform: With Docker, Jenkins, and Kubernetes

Machine Learning for Cloud Management

Cloud FinOps, 2nd Edition: Collaborative, Real-Time Cloud Value Decision Making

Designing Applications for Google Cloud Platform: Create and Deploy Applications Using Java

machine learning engineering on aws build scale and secure machine learning

Pre-Owned Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning (Paperback) 1098118952 9781098118952

AWS Certified Cloud Practitioner – Hands-on Project (Cloud Computing for All)

Cloud Computing Solutions Architect

Beginning MLOps with Mlflow: Deploy Models in AWS Sagemaker Google Cloud and Microsoft Azure (Paperback)

Cloud-Based Microservices

Practical MLOps: Operationalizing Machine Learning Models

Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning [first edition]