Learning Amazon SageMaker AI

Learning Amazon SageMaker AI

with Kesha Williams
Electronic Video - 2024

Get hands-on experience using Amazon SageMaker for setting up environments, preparing datasets, building and deploying machine learning models, and implementing best practices.

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Библиографические подробности
Соавтор: linkedin.com (Firm)
Другие авторы: Williams, Kesha (Диктор)
Формат: Электронный ресурс Видеозапись
Язык:English
Опубликовано: Carpenteria, CA linkedin.com, 2024.
Предметы:
Online-ссылка:View course details on linkedin.com/learning

MARC

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520 |a Amazon SageMaker is a solution for developers who want to deploy predictive machine learning models into a production environment. This course teaches you how to set up and configure SageMaker environments, prepare and preprocess datasets, and build, train, and deploy machine learning models using SageMaker's built-in algorithms. Instructor Kesha Williams guides you through evaluating and optimizing model performance, including hyperparameter tuning and performance monitoring, to ensure your models deliver the best results. Additionally, learn best practices for managing costs, implementing security measures, and operationalizing models with MLOps. Whether new to machine learning or looking to expand your AWS skills, this course will provide the hands-on experience and practical knowledge to use Amazon SageMaker in your projects effectively. 
538 |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. 
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092 |a ONLINE CLASS