The MLOps Engineer · 15-volume digital edition
Build the systems around the model.
A connected field reference for production machine learning: reproducible data and training, safe deployment, model serving, observability, platform engineering, and the LLM lifecycle.
Complete collection
$19915 separate PDFs · one-time purchase
$19 per volume · save $86 with the collection
Buy all 15 PDFs →$19 per volume · save $86 with the collection
- Volumes
- 15
- Pages
- 4,303
- Chapters
- 120
- Format
- 7.25 × 9.5 in PDF
The complete sequence
Choose your starting point.
Each volume is a complete PDF with its own cover, contents, diagrams, tables, and code. Chapter numbering continues across the series.
Production Infrastructure and ML Basics
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Data, Evaluation, and Project Structure
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Reproducible ML Code and Data Pipelines
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Feature Systems and Model Control
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Training Pipelines and Inference Patterns
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Model Serving and Delivery Foundations
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Deployment Safety and ML Observability
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Incidents, Governance, and Responsible AI
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Internal ML Platform Design
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Platform Operations and Cloud Foundations
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Cloud Architectures and the LLM Lifecycle
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Retrieval, Tuning, and Agent Systems
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Safe GenAI Release and Applied ML Systems
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Advanced Operations and Career Mastery
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From first pipeline to dependable platform.
All 120 chapters in fifteen focused volumes. Buy only the topics you need, or keep the complete reference together.