{"id":431,"date":"2025-05-27T10:10:31","date_gmt":"2025-05-27T10:10:31","guid":{"rendered":"https:\/\/academy.xebia.com\/in\/?post_type=course&p=431"},"modified":"2025-06-12T09:39:36","modified_gmt":"2025-06-12T09:39:36","slug":"mlops-on-azure","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/in\/training\/mlops-on-azure\/","title":{"rendered":"MLOps on Azure"},"content":{"rendered":"\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\t
\n\t\t
\n\t\n\t
\n\t\t\t\t\t
\n\t\t\t\t<\/linearGradient><\/linearGradient><\/linearGradient><\/defs><\/svg>\t\t\t<\/div>\n\t\t\n\t<\/div>\n<\/div>\t<\/div>\n\t
\n\t\t\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t
\n\t\t
\n\t\t\t
\n\t\t\t\t\n\tMLOps on Azure<\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
\n\t\t
\n\t\t\t
\n\t\t\t\t

\n\t\t\t\t\t\n\t\t\t\t\t<\/span> \t\t\t\t\t<\/span>\n\t\t\t\t<\/p>\n\t\t\t\t

\n\t
\n\t\t\n\t\n\t<\/svg><\/i>\n\t\n\t<\/button>\t
\n\t\t
\n\t\t\t<\/span>\n\t\t\t\n\t\n\t<\/svg><\/i>\n\t\n\t<\/button>\t\t<\/div>\n\t<\/div>\n<\/div><\/div>

\n\tDo you already have a solid understanding of Machine Learning and would like to take your models outside of the development phase? This MLOps on Azure training is then a perfect next step for you.

Learn more about the key principles of MLOps and the elements of an end-to-end Machine Learning system. Also, you will create Machine-Learning pipelines in Azure ML and deploy a CI\/CD pipeline with GitHub Actions. And much more!<\/p>\t\t\t\t

\n\t\t\t\t\t\n\t\t\n\n\t\n\t\n\t\n<\/picture>\n\tTrainer Title<\/h2>\t<\/a>\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t
\n\t\n\t\t\t<\/a>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t
\n\t\t\t\t
\n\t\t
\n\t\t\n\tLooking to upskill your team(s) or organization?<\/strong><\/h2>

\n\tSurat 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\tSurat Wahal
Training Advisor<\/h2>\t\t

\n\t+91-9999644790
<\/a>Surat.wahal@xebia.com<\/a>
linkedin.com\/in\/surat-wahal-12996513<\/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

\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\n
\n\t\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\tWhat will you learn?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\t\t

\n\tAfter the training, you will be able to:<\/p>\t

\n\t\t\n\n
\n\t\n\t<\/svg><\/i>

\n\tUnderstand all the necessary components in an end-to-end ML system<\/p><\/div>\n\n\n\n

\n\t\n\t<\/svg><\/i>

\n\tSet up monitoring for your application using Application Insights<\/p><\/div>\n\n\n\n

\n\t\n\t<\/svg><\/i>

\n\tCreate machine learning pipelines in Azure ML<\/p><\/div>\n\n\n\n

\n\t\n\t<\/svg><\/i>

\n\tIntegrate and deploy all code through a CI\/CD pipeline with Github Actions<\/p><\/div>\n\n\n\n

\n\t\n\t<\/svg><\/i>

\n\tDeploy your model as scalable API as Azure ML Endpoint or Azure Container Instance<\/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

\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\n
\n\t\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n
\n\t\n\tProgram<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
\n\t\t\n\t\t\t
\n\t\t\t\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
\n\t\n\n
\n\t\t\n\t\t\t
\n\t\t\t\n\n\t\t\n\n
\n\t