{"id":54150,"date":"2025-05-30T13:44:34","date_gmt":"2025-05-30T13:44:34","guid":{"rendered":"https:\/\/academy.xebia.com\/us\/?post_type=course&p=54150"},"modified":"2026-02-10T14:31:30","modified_gmt":"2026-02-10T14:31:30","slug":"production-ready-machine-learning","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/us\/training\/production-ready-machine-learning\/","title":{"rendered":"Production Ready Machine Learning"},"content":{"rendered":"\n
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\n\t\t\t\t\n\tProduction Ready Machine Learning<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
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\n\tThis practical three-day training will give you the skills to bring your machine-learning models into production. We will teach you how to go from notebooks to packages. You will learn best practices for managing your code, including advanced Python features that help Data and Machine Learning (ML) Engineers make sure their code is readable, maintainable, and scalable.
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\n\t\t\n\tLooking to upskill your team(s) or organization?<\/strong><\/h2>

\n\tBrijesh will gladly help you further with custom training solutions.<\/p>

\n\t\t\n\n\t\n\t\n\t\n<\/picture>\t\t\n\tBrijesh Kohli
Training Advisor<\/h2>\t\t

\n\t+1 (404) 988-3790<\/a>
<\/a>brijesh.kohli@xebia.com
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\n\t\n\tWhat will you learn?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
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\n\tAfter the training, you will be able to:<\/p>\t

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\n\tUnderstand what it means for a project to be production-ready<\/em><\/p><\/div>\n\n\n\n

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\n\tWrite robust Python code that is easy to extend, debug, monitor and test<\/p><\/div>\n\n\n\n

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\n\tStructure your machine learning projects as high-quality Python packages with Poetry that makes them easy to share, collaborate and deploy<\/p><\/div>\n\n\n\n

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\n\tServe your models with APIs and CLIs<\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\tThis training combines conceptual explanations, practical exercises, and a capstone project, which touch upon the most relevant aspects of production-ready<\/em> applications. If you follow this training, you will learn in a very interactive setting the most modern approaches and best practices to develop machine learning code in a robust, safe, scalable, and easy-to-maintain way.\u00a0<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n

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