MLOps & Infrastructure · intermediate · concept 136 of 176

⚙️MLOps (ML Operations)

The practice of deploying, monitoring, and maintaining ML models in production. Combines ML, DevOps, and data engineering. The difference between a notebook prototype and a reliable production system. CI/CD carries over from software engineering: every model change flows through automated test, build, and deploy stages. LLMOps is the same discipline rebuilt around LLM apps, where prompts and evals become the artifacts under version control.