What is Amazon SageMaker used for?

Amazon SageMaker is the next generation platform for all your data, analytics, and AI needs, offering a fully managed environment to build, train, and deploy machine learning models with integrated tools and workflows.

Is Amazon SageMaker free or paid?

Amazon SageMaker offers both free and paid plans. The free tier provides basic features, while paid plans unlock advanced capabilities.

Does Amazon SageMaker require coding?

Amazon SageMaker offers both no-code solutions and API access for developers. You can use it without coding, or integrate it programmatically if you have technical skills.

What platforms does Amazon SageMaker support?

Amazon SageMaker is primarily a web-based tool. It also provides API access for developers who want to integrate it into their applications.

How does Amazon SageMaker compare to alternatives?

Amazon SageMaker stands out with its high user ratings. It offers a free tier, making it accessible to users on a budget. The API integration capabilities make it ideal for developers. For detailed comparisons, check out our alternatives page.

Amazon SageMaker – What It Is & Key Capabilities | KnowGenerativeAI

Name: Amazon SageMaker
Brand: Amazon Web Services
Rating: 4.6 (25678 reviews)

Amazon SageMaker is the next generation platform that serves as the center for all your data, analytics, and AI needs. It enables users to build, train, and deploy machine learning models, including foundation models (FMs), using fully managed infrastructure, tools, and workflows.

Key features of Amazon SageMaker include the SageMaker Unified Studio, which offers a single development environment for all data and analytics tools, and the SageMaker Catalog, built on Amazon DataZone for secure data discovery and governance. The platform also supports a lakehouse architecture, unifying data access across Amazon S3 data lakes, Amazon Redshift data warehouses, and third-party sources.

Targeted at data scientists, analysts, and AI developers, Amazon SageMaker accelerates AI development with a comprehensive set of secure tools that span the entire AI lifecycle. Users can rapidly create generative AI applications tailored to their business needs.

The main benefits of Amazon SageMaker include an integrated experience for analytics and AI, the ability to collaborate and build faster using familiar AWS tools, and the capability to securely share analytics and AI artifacts to bring data products to market more quickly.