aws-samples / cloud-experimentsLinks
Open innovation with 60 minute cloud experiments on AWS
☆88Updated last year
Alternatives and similar repositories for cloud-experiments
Users that are interested in cloud-experiments are comparing it to the libraries listed below
Sorting:
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 6 years ago
- A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as…☆22Updated 6 years ago
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆58Updated 4 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆136Updated 3 years ago
- ☆52Updated 7 years ago
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆109Updated 5 years ago
- Reference Architectures for Datalakes on AWS☆79Updated 5 years ago
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- Sample code and datasets for Amazon Fraud Detector☆78Updated last year
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆72Updated last year
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆60Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 5 months ago
- ☆158Updated last year
- Source code for the post, 'Getting Started with Data Analysis on AWS, using S3, Glue, Amazon Athena, and QuickSight'☆28Updated 4 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- Materials for a 2-day instructor led course on applying machine learning☆201Updated 4 years ago
- SageMaker custom deployments made easy☆62Updated 2 months ago
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- In this workshop you will launch an Amazon Redshift cluster in your AWS account and load sample data ~ 100GB using TPCH dataset. You will…☆25Updated 6 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated last year
- Repository for AWS Glue Workshop☆33Updated 2 years ago
- This repository contains ready-to-use notebook examples for a wide variety of use cases in Amazon EMR Studio.☆51Updated last year
- ☆74Updated last year
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆68Updated 2 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 3 years ago
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 5 years ago