- Machine learning CI/CD with AWS SageMaker🔍
- Machine Learning CI/CD Pipeline with Github Actions and Amazon ...🔍
- Build CI/CD Pipeline for Continuous Deployment with SageMaker🔍
- Setting up SageMaker for CI/CD Pipelines 🔍
- How to Build CI/CD Pipelines Using AWS SageMaker🔍
- Deploying SageMaker models using CI/CD🔍
- Setup Sagemaker For Machine Learning CI/CD Pipelines🔍
- SageMaker model deployment as CI/CD pipeline🔍
Deploying SageMaker models using CI/CD
Machine learning CI/CD with AWS SageMaker - CircleCI
The focus of this article is to illustrate how to integrate AWS SageMaker model training and deployment into CircleCI CI/CD pipelines.
... with its powerful CI/CD tool Github actions and we will train and deploy our models using SageMaker. Table of Contents. What is CI/CD ?
Build CI/CD Pipeline for Continuous Deployment with SageMaker
How to Deploy A Model Using MLFlow and SageMaker? · Step 1: Create a Container Image · Step 2: Configure Deployment Client · Step 3: Update the Automation Script.
Setting up SageMaker for CI/CD Pipelines : r/mlops - Reddit
SageMaker Pipelines. We have very linear flows: create dataset with PySpark, training + HPO, evaluate and test, manual verification, deploy. In ...
How to Build CI/CD Pipelines Using AWS SageMaker - Edlitera
SageMaker Debugger is a great optimization tool for machine learning models. It works by tracking different metrics, which gives you insight ...
Deploying SageMaker models using CI/CD | AWS re:Post
My project needs to use CI/CD pipeline to run containers to train models and deploy it. Looking for an automated approach to accomplish this?
Setup Sagemaker For Machine Learning CI/CD Pipelines - DagsHub
Under “Create Project” you will see multiple templates. Choose a template that defines your task. We use the “model building, training, and deployment” pipeline ...
Load the data for the iris multi-class classification problem · Use a SageMaker built-in estimator XGBoost to train the model on the dataset · Create a SageMaker ...
In today's dynamic world of data science and machine learning, the ability to efficiently manage and deploy machine learning models is no ...
SageMaker Pipelines and CI/CD with GitLab Multiaccount
Allow the target accounts to read the models in the S3 bucket of the main account; · Attach a policy to the ModelPackageGroup (SageMaker ...
Build, automate, and manage workflows for the complete machine learning (ML) lifecycle spanning data preparation, model training, and model deployment using ...
How To Do Basic CI On Your ML Model With Sagemaker and Github ...
... using the sg python sdk) Next I'll layer on an explicit set of CD steps using different environments, as this another area where Sagemaker ...
[P] How to build CI/CD automations for training and deployment of ...
Using Continuous Integration and Continuous Deployment (CI/CD) methodologies to train and deploy models using AWS SageMaker.
AWS re:Invent 2018: CI/CD for Your Machine Learning Pipeline with ...
Amazon SageMaker is a powerful tool that enables us to build, train, and deploy at scale our machine learning-based workloads. With help ...
Building Machine Learning Pipelines With Amazon Sagemaker
... CI/CD practices into your machine learning pipelines. To showcase a specific implementation, we'll dive deeper into Amazon SageMaker ...
Welcome to Building CI/CD pipelines with Amazon SageMaker! This workshop is designed to provide you with hands-on experience and practical knowledge of ...
CI/CD for Multi-Model Endpoints in AWS - Towards Data Science
For models deployed using the AWS stack and particularly SageMaker, AWS offers a standard CI/CD solution using SageMaker Pipelines to ...
CI/CD for Machine Learning: A Simple Explanation | by Neel Shah
Getting Started with CI/CD for ML on AWS · Choose an AWS service for deploying your ML model. The best AWS service for deploying your ML model will depend on the ...
Promoting Code Across Environments for Reliable and Efficient ...
To address this problem, in collaboration with AWS, we built a solution that enables customers to leverage this model deployment pattern in ...
Automation of the MLOps pipeline is achieved through Continuous Integration and Continuous Deployment (CI/CD). Machine learning model for this sample code is ...