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Hands-On MLOps on Azure. Automate, Secure & Scale ML Workflows with Azure ML CLI, GitHub & LLMOps Banibrata De

Język publikacji: angielski
Hands-On  MLOps on Azure. Automate, Secure & Scale ML Workflows with Azure ML CLI, GitHub & LLMOps Banibrata De - okladka książki

Hands-On  MLOps on Azure. Automate, Secure & Scale ML Workflows with Azure ML CLI, GitHub & LLMOps Banibrata De - okladka książki

Autor:
Banibrata De
Serie wydawnicze:
Hands-on
Ocena:
Effective 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, MLOps for DevOps and Cloud Engineers 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 pipelines. You'll implement CI/CD with GitHub Actions and Azure ML CLI, automate deployments, and manage governance and alerting for enterprise use. The author draws on their production ML experience to provide you with actionable guidance and real-world examples. A dedicated section on LLMOps covers operationalizing large language models (LLMs) like GPT-4 using RAG patterns, evaluation techniques, and responsible AI practices. You’ll also work with case studies across Azure, AWS, and GCP that offer practical context for multi-cloud operations.
Whether you're building pipelines, packaging models, or deploying LLMs, this guide delivers end-to-end strategy to build robust, scalable systems. By the end of this book, you'll be ready to design, deploy, and maintain enterprise-grade ML solutions with confidence.

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