A practical roadmap for deploying and operating machine learning systems in production — covering version control for ML artifacts, CI/CD pipelines, cloud infrastructure, containerization, orchestration, and model monitoring. Every section is a tool or skill you will actively use on the job.
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Prerequisites
MLOps is about operationalizing machine learning — not learning it. You need ML knowledge and programming skills before the MLOps-specific sections are meaningful.