Machine Learning

Bringing Machine Learning (ML) to every developer and data scientist

At Amazon, we’ve been investing in artificial intelligence (AI) for over 20 years. Machine learning (ML) algorithms drive many of our internal systems. Our customers can acquire ML capabilities as fully managed services from AWS, and put them into the hands of every developer and data scientist.

The solutions shown here are part of Solution Space, an AWS website that features solutions built by AWS and AWS Competency Partners. These solutions are based on architectures validated by AWS and can be deployed quickly with solution accelerators like AWS Quick Starts and optional consulting offers from AWS Competency Partners.

Advanced Analytics and Machine Learning Flow

Platform solutions


A data science platform on the AWS cloud allows data scientists and business analysts to develop better products and deliver more impactful results to the business. Data science platforms simplify infrastructure management, accelerate projects, and make delivery to stakeholders simpler.

Machine Learning with Data Lake Foundation by 47Lining

Launch a data lake on AWS integrated with Amazon SageMaker to enable your machine learning goals.
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Machine Learning with Amazon SageMaker and Cloudwick

Operationalize your entire machine learning workflow on AWS.
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DataRobot on AWS

Become an AI-driven enterprise with automated machine learning provided by DataRobot on AWS.
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Domino Data Science Platform

Accelerate the development and delivery of data science models for teams of all sizes.
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Rapid Analytics and Machine Learning (RAMP) on AWS

Quickly discover value from your data with a Discovery-as-a-Service (DaaS) consulting solution.
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Predictive Data Science with Pariveda

Discover a value-driven approach that focuses on the operational changes necessary to unlock the benefits of Machine Learning. Keep Reading »

Peak Artificial Intelligence System (AIS) on AWS

Continuously evolve your business with the Peak Artificial Intelligence System (AIS) on AWS.
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Hyperparameter Optimization solutions


Hyperparameter optimization is the process of improving the learning algorithm that powers your machine learning model by tuning constraints, weights, learning rates, and other hyperparameters. Hyperparameter optimization solutions on AWS allow you to dramatically improve the performance of your model and maximize its predictive accuracy.

SigOpt on AWS

Automate the tuning of your model's hyper, feature, and architecture parameters.
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Browse consulting offerings




Managed Services

Proof-of-Concept Consulting Offers


AWS Machine Learning Competency Partners can support your proof-of-concept efforts in order to help you discover value from machine learning on AWS. 

Collaborative Data Science Platform

Be Adaptive, Solve Problems-Determine What Might Happen Next Using Data Science and building your world-class data science capability with Pariveda.
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Machine Learning Platform on AWS

Grow your business with Peak Artificial Intelligence System (AIS) to help your organization grow quickly, efficiently, and continuously while taking full advantage of artificial intelligence (AI) technologies. Keep Reading »

Machine Learning Discovery Workshop on AWS with Cloudwick

Identify use cases, provide a detailed report for an implementation plan, and ultimately allow your organization to make strategic decisions based on data. Keep Reading »

Managed Services Consulting Offers


AWS Machine Learning Competency Partners can deliver managed services to support your end-to-end machine learning processes.

Machine Learning Discovery-as-a-Service

Inawisdom's Discovery-as-a-Service (DaaS) consulting engagement, when combined with its Rapid Analytics and Machine Learning Platform (RAMP), enables your organization to quickly discover value from your data. Keep Reading »

Machine Learning-as-a-Service on AWS with Cloudwick

Easily build and manage a machine learning (ML) models for your organization utilizing Cloudwick’s subscription service.
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Learn more about Machine Learning at AWS