{"product_id":"python-essentials-for-ai-ml-sres-python-sre-handbook-for-aiops-mlops-9798247553465","title":"Python Essentials for AI\/ML SREs: Python SRE Handbook for AIOps\/ MLOps","description":"\u003cp\u003e • Author(s): Dilip Kumar Mondal\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePython Handbook for AIOps\u003c\/b\u003e\u003cb\u003e \/ MLOps\u003c\/b\u003e is a practical, engineer-focused guide that equips \u003cb\u003eAI\/ML Site Reliability Engineers (SREs), MLOps engineers, and Data Scientists\u003c\/b\u003e with the Python skills required to build, operate, and scale reliable AI systems in production. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eUnlike generic Python or ML books, this handbook focuses on \u003cb\u003eoperational Python\u003c\/b\u003e-the patterns, libraries, and practices used to automate pipelines, monitor models, detect anomalies, manage data and feature stores, and ensure reliability across modern cloud-native AI platforms. \u003cp\u003e\u003c\/p\u003eThe book bridges the gap between \u003cb\u003edata science experimentation\u003c\/b\u003e and \u003cb\u003eproduction-grade AI operations\u003c\/b\u003e, emphasizing real-world use cases such as incident prediction, model drift detection, automated retraining, observability, and infrastructure-aware ML workflows.","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47569711267991,"sku":"9798247553465","price":1269.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798247553465.webp?v=1774878857","url":"https:\/\/atlanticbooks.com\/products\/python-essentials-for-ai-ml-sres-python-sre-handbook-for-aiops-mlops-9798247553465","provider":"Atlantic Books","version":"1.0","type":"link"}