MLOps Engineering at Scale

MLOps Engineering at Scale (Paperback)

Operationalizing Machine Learning Pipelines: Building Reusable and Reproducible Machine Learning Pipelines Using MLOps

Machine Learning Engineering with Python - Second Edition - 2nd Edition by Andrew McMahon (Paperback)

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples

Machine Learning Pipelines: A Comprehensive Guide to Building and Deploying Intelligent Systems

The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting

The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS

Operationalizing Machine Learning Pipelines: Building Reusable and Reproducible Machine Learning Pipelines Using Mlops (Paperback)

Engineering AI Systems: Architecture and DevOps Essentials

Shipping Machine Learning Systems: A Practical Guide to Building, Deploying, and Scaling in Production

Llms in Production - by Christopher Brousseau & Matt Sharp (Paperback)

Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system

AI Engineering: Building Applications with Foundation Models

DevOps Tools and Principles (Video Collection)

Managing Machine Learning Projects: From design to deployment

DevOps with AI Agents: Automate Infrastructure, Deployments, Logs, Incidents, Scripts, Cloud Tasks, and Documentation with AI Tools

MLflow for Machine Learning Operations: The Complete Guide for Developers and Engineers

The DevOps Engineer's Guide to AI: How to Deploy, Monitor, and Scale AI Applications Using Modern DevOps Practices and Tools

introducing mlops how to scale machine learning in the enterprise

AIOps - Audiobook, by Sam Miley

Building Machine Learning Powered Applications : Going from Idea to Product

Practical MLOps: Operationalizing Machine Learning Models

Introducing MLOps: How to Scale Machine Learning in the Enterprise