Webinar On AIOps & Multi-Cloud Engineering On 1st June 2024 @ 2:50 PM
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CloudAge Global

MACHINE LEARNING ON AWS

PUTTING MACHINE LEARNING IN THE HANDS OF EVERY DEVELOPER AND DATA SCIENTIST

Build, train, and deploy Machine Learning models fast

At Amazon, we’ve been investing deeply  in artificial intelligence  for over 20 years. Machine learning (ML) algorithms drive many of our internal  systems. It’s also core to the capabilities  our customer’s experience – from the  path and optimization in our fulfillment  centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, our drone initiative Prime Air, and our new retail experience Amazon Go. This is just the beginning. Our mission is to share our learnings and ML capabilities as fully managed services and put them into the hands of every developer and data scientist.
At Amazon, we’ve been investing deeply  in artificial intelligence  for over 20 years. Machine learning (ML) algorithms drive many of our internal  systems. It’s also core to the capabilities  our customer’s experience – from the  path and optimization in our fulfillment  centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, our drone initiative Prime Air, and our new retail experience Amazon Go. This is just the beginning. Our mission is to share our learnings and ML capabilities as fully managed services and put them into the hands of every developer and data scientist.
AWS LAmbda
AI Technologies Today and Tomorrow
Possible Applications for AI

Train and deploy models fast

Engineered for the Most Demanding Requirements

ML Services

Build, train, and deploy ML fast

AI Services

Easily add intelligence to your applications

Frameworks

Choice and flexibility with broadest framework support

Compute

Fastest and lowest-cost compute options

Why Machine Learning on AWS?

Machine Learning for everyone

Amazon Machine Learning (Amazon ML) is a robust, cloud-based service that makes it easy for developers of all skill levels to use machine learning technology. Amazon ML provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Once your models are ready, Amazon ML makes it easy to obtain predictions for your application using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.
Whether you are a data scientist, ML researcher, or developer, AWS offers machine learning services and tools tailored to meet your needs and level of expertise.

Get deep with Machine Learning

AWS DeepRacer

Accelerating enterprise-class data management innovation At CloudAge, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights.
AWS DeepRacer is a fully autonomous 1/18th-scale race car designed to help you learn about reinforcement learning through autonomous driving.
  • Experience the thrill of the race in the real world when you deploy your RL model onto AWS DeepRacer.
  • Protect your assets using built-in controls for identity, data and network access, including custom roles.
  • Starting in 2019, compete in the world’s first global autonomous racing league, to race for prizes and a chance to advance to win the coveted AWS DeepRacer Cup.

AWS DeepLens

AWS DeepLens is the world’s first Deep Learning-enabled video camera for developers. Integrated with Amazon SageMaker and many other AWS services, it allows you to get started with deep learning in less than 10 minutes through sample projects with practical, hands-on examples.
  • Choose your deep learning model from the AWS DeepLens pre-trained model library, or your own models trained with Amazon SageMaker.
  • Deploy your model to the device with a single click.
  • Watch the results in real time in the AWS Management Console.

We Train Employees That Work Globally