MLOps workshop with Amazon SageMaker

Sample datasets and code for operationalizing Amazon Fraud Detector using SageMaker DataWrangler, Feature Store, and Pipelines.

Build an MXNet image classification model via SageMaker Pipelines

This solution shows how to deliver reusable and self-contained custom components to Amazon SageMaker environment using AWS Service Catalog, AWS CloudFormation, SageMaker Projects and SageMaker Pipelines.

Asset Prediction Sagemaker Pipelines Example

Argo Workflows Executor Plugin for AWS Services, e.g. SageMaker Pipelines, Glue, etc.

An end-to-end MLOps pipeline that reads data from PrestoDB to train an ML model and deploy on SageMaker for batch and realtime inference.

An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.

Cursus is an intelligent pipeline generation system that automatically creates complete SageMaker pipelines from user-provided pipeline graphs. Simply define your ML workflow as a graph structure, and Cursus handles all the complex SageMaker implementation details, dependency resolution, and configuration management automatically.

10 hands-on AWS Certified Machine Learning Engineer Associate labs covering ML data ingestion, feature engineering, data quality, bias, SageMaker training, tuning, model evaluation, deployment, orchestration, monitoring, security, and MLA-C01 readiness.

A repo for setting pipeline for deploying model as sagemaker endpoint

This repo automates training of a Deep-AR algorithm using a Sagemaker pipeline.

SageMaker Pipelines example

A repo containing end to end sagemaker mlops pipeline for model building

Machine Learning w/ AWS SageMaker Pipelines

This repository outlined how to implement MLOps practice on AWS Cloud using Amazon SageMaker.

Tests whether power outage exposure predicts telco churn in South Africa — SageMaker training pipeline + model registry, infra managed with AWS CDK.

Hands-on Amazon SageMaker labs for the AWS Certified Machine Learning Engineer Associate exam

Detect and score fraudulent transactions in real time using machine learning with explainable AI and fast API response under 100ms.