MLOps Engineering at Scale
From data scientist to production: building scalable ML infrastructure using AWS, PyTorch Lightning, Optuna, and MLFlow.
About the book
Carl Osipov (who built ML systems at Google and IBM) teaches infrastructure-as-code patterns for ML. Covers serverless ML, cloud-native deployment, pipeline orchestration, and scaling deep learning models. Essential for teams moving beyond notebooks to production systems.
Summary
Summary coming soon!