Idézet: A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in productionKey Features✔Build reproducible ML pipelines with Azure ML CLI and GitHub Actions
✔Automate ML workflows end to end, including deployment and monitoring
✔Apply LLMOps principles to deploy and manage generative AI responsibly across clouds
✔Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionEffective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using...

Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.

Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.