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AI in AWS

Products​

Bedrock​

Amazon Bedrock is a fully managed service that makes high-performing foundation models (FMs) from leading AI startups and Amazon available for your use through a unified API.

You can choose from a wide range of foundation models to find the model that is best suited for your use case.

Amazon Bedrock also offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Using Amazon Bedrock, you can easily experiment with and evaluate top foundation models for your use cases, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

🌐 docs

Q​

Amazon Q generates code, tests, debugs, and has multi-step planning and reasoning capabilities that can transform and implement new code generated from developer requests.

🌐 aws.amazon.com/q, blog

SageMaker​

Amazon SageMaker is a fully managed machine learning (ML) service.

With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment.

It provides a UI experience for running ML workflows that makes SageMaker ML tools available across multiple integrated development environments (IDEs).

🌐 aws.amazon.com/sagemaker, docs