Website Link: https://aws.amazon.com/sagemaker/
Cost: Pay-as-you-go; pricing varies based on services used
Support: AWS Support Plans, Documentation, Community Forums
Main Uses: Building, training, and deploying machine learning models, Data labeling and preparation, Model monitoring and management, Integration with AWS services
Marketing Channels: SEO, Content Marketing, Digital PR, AI Discovery

Contents

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Description

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Tool Facts

• Founded: 2017
• Parent Company: Amazon Web Services
• Headquarters: Seattle, Washington, USA
• Integrations: AWS ecosystem, Jupyter Notebooks
• Notable Feature: SageMaker Studio for integrated development environment

Educational Resources

AWS Training and Certification
AWS Overview