Machine Learning Engineer for Microsoft Azure

Starting at USD 1197.00
12 weeks duration

Strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning.

In the Machine Learning Engineer for Microsoft Azure course on Udacity, you will learn how to effectively use Azure Machine Learning to configure machine learning pipelines, automate machine learning processes, and manage machine learning operations. The course covers important topics such as optimizing ML pipelines in Azure, operationalizing machine learning, and training and deploying machine learning models in Azure. Through hands-on projects and exercises, you will gain practical experience in using Azure ML SDK, enabling Application Insights, troubleshooting issues, and utilizing Azure's Pipelines. The course culminates in a capstone project where you will apply your knowledge to solve a real-world problem using Azure's Automated ML and HyperDrive, and deploy the model as a web service for testing. By completing this course, you will develop the skills necessary to successfully ship machine learning models into production.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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