Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines

Open Source MLOPs: Version Control and Automation for Machine Learning Pipelines With DVC and CML

Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)

Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way

Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines

MLOps Mastery: Building and Scaling Trustworthy AI Systems and Robust ML Pipelines with Machine Learning Operations

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

Building Machine Learning Pipelines

Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale