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Hands-On MLOps on Azure. Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps Banibrata De

Język publikacji: angielski
Hands-On MLOps on Azure. Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps Banibrata De - okladka książki

Hands-On MLOps on Azure. Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps Banibrata De - okladka książki

Autor:
Banibrata De
Serie wydawnicze:
Hands-on
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Stron:
276
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, 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 pipelines. You'll implement CI/CD with GitHub Actions and the 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) such as 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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O autorze książki

Banibrata De is a seasoned Senior Software Engineer at Microsoft's Core AI group in Redmond. With deep expertise in both MLOps and LLMOps, Banibrata has contributed to a wide range of AI-driven products. Prior to this, he played a key role in enhancing security for Microsoft customers as part of the Windows Defender team and optimized performance across critical Microsoft services to elevate user experience. He holds a degree in Computer Science from Jadavpur University, Kolkata, India.

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