Learning Amazon SageMaker AI / with Kesha Williams.

Format:

Video

Author/Creator:

Williams, Kesha, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2024.

System Details:

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.

digital

Summary:

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

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.

Participant:

Presenter: Kesha Williams

Notes:

12/18/202412:00:00AM

Access Restriction:

Restricted for use by site license.