AWS Machine Learning Engineer

Starting at USD 1995.00
20 weeks duration

Learn the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker.

In the AWS Machine Learning Engineer course on Udacity, you will gain a comprehensive understanding of machine learning concepts and techniques using AWS SageMaker. Starting with exploratory data analysis in SageMaker Studio, you will learn how to apply machine learning concepts to real-world scenarios. The course covers the entire machine learning workflow, from data cleaning and feature engineering to model evaluation and hyperparameter tuning. You will also learn how to build advanced machine learning workflows using sophisticated models like XGBoost and AutoGluon. Additionally, the course covers topics such as deep learning in computer vision and NLP, operationalizing machine learning projects on SageMaker, and a capstone project on inventory monitoring at distribution centers. By the end of the course, you will have the skills to create end-to-end machine learning pipelines and a job-ready portfolio.

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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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