{"id":54121,"date":"2025-05-30T13:45:30","date_gmt":"2025-05-30T13:45:30","guid":{"rendered":"https:\/\/academy.xebia.com\/us\/?post_type=course&p=54121"},"modified":"2026-02-10T14:20:13","modified_gmt":"2026-02-10T14:20:13","slug":"machine-learning-system-design","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/us\/training\/machine-learning-system-design\/","title":{"rendered":"Machine Learning System Design\u00a0"},"content":{"rendered":"\n
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\n\t\t\t\t\n\tMachine Learning System Design<\/strong><\/strong><\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
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\n\tAre you a machine learning practitioner who struggles with designing, reasoning, and communicating about larger ML systems? Then this training is for you!\u00a0Get ready to develop your skills and knowledge in this exciting field! Be sure to bring your own business case to get the most out of the training.<\/p>\t\t\t\t

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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 for your organization. <\/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
<\/a>https:\/\/www.linkedin.com\/in\/brijesh-kohli\/<\/a><\/p>\t<\/div>\n\t\n\t\t\tGet in touch<\/span>\n\t\n\t<\/a>\t<\/div>\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\n\n

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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\tWith the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount for you to understand ML from a systems perspective.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\t In this course, you will gain a thorough understanding of the technical intricacies of designing valuable, reliable and scalable ML systems. The session enables you to identify trade-offs and bottlenecks in a system. Plus, you’ll learn how to effectively communicate and collaborate with other people and departments. The training will contain a mix of theory and practice. As we will share common methodologies and frameworks and apply them straight away to a real business case.<\/p><\/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\tAssess the requirements for ML systems by applying the \u2018Reliable, Scalable, Maintainable, and Adaptable\u2019 framework<\/p><\/div>\n\n\n\n

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\n\tCommunicate designs clearly and make the proposed solution measurably work by writing proposals following the Software Design Doc template<\/p><\/div>\n\n\n\n

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\n\tIllustrate your designs and provide context by creating hierarchical architecture diagrams<\/p><\/div>\n\n\n\n

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\n\tEvaluate technical bottlenecks and trade-offs in design proposals<\/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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