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Machine Learning on AWS

We will help you to choose from pre-trained AI services for computer vision, language, recommendations, and forecasting with Amazon SageMaker to quickly build, train and deploy machine learning models at scale; or build custom models with support for all the popular open-source frameworks.

Our capabilities are built on the most comprehensive cloud platform, optimized for machine learning with high-performance compute, and no compromises on security and analytics. AWS pre-trained AI Services provide ready-made intelligence for your applications and workflows. AI Services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement.

Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously-learning APIs. And best of all, AI Services on AWS don’t require machine learning experience.

How We Do It

Personalize experiences for your customers with the same recommendation technology used at Amazon.com.

Build accurate forecasting models based on the same machine learning forecasting technology used by Amazon.com.

Image and Video Analysis
Add image and video analysis to your applications to catalog assets, automate media workflows, and extract meaning.

Advanced Text Analytics
Use natural language processing to extract insights and relationships from unstructured text.

Document Analysis
Automatically extract text and data from millions of documents in just hours, reducing manual efforts.

Machine Learning on AWS


Pre-trained or custom model deployed on TensorFlow, PyTorch, Apache MXNet, or other popular frameworks to experiment with and customize machine learning algorithms.

You can use the framework of your choice as a managed experience in Amazon SageMaker or use the AWS Deep Learning AMIs (Amazon machine images), which are fully configured with the latest versions of the most popular deep learning frameworks and tools.

Let's get started

Want to build your ML pipeline on AWS? We’ve got your back.