AWS Machine Learning

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure.

APIs 124

APIs Big data Accountability Enterprise 124

AWS Machine Learning

JUNE 30, 2022

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs 81

APIs Enterprise Big data Accountability 81

AWS Machine Learning

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. Now let’s dive deeper into the details.

APIs 71

APIs Government Accountability Scripts 71

AWS Machine Learning

DECEMBER 1, 2022

In this post, we look at how to use Amazon SageMaker Role Manager to quickly build out a set of persona-based roles that can be further customized to your specific requirements in minutes, right on the Amazon SageMaker console. They’re permitted to manage models, endpoints, and pipelines, and audit resources. ML activities.

Management 73

Management Government Enterprise APIs 73

AWS Machine Learning

MARCH 7, 2023

This post presents and compares options and recommended practices on how to manage Python packages and virtual environments in Amazon SageMaker Studio notebooks. You can manage app images via the SageMaker console, the AWS SDK for Python (Boto3), and the AWS Command Line Interface (AWS CLI). Launch the custom image in Studio.

Management 74

Management Scripts Government Engineering 74

AWS Machine Learning

JULY 29, 2022

Each onboarded user in Studio has their own dedicated set of resources, such as compute instances, a home directory on an Amazon Elastic File System (Amazon EFS) volume, and a dedicated AWS Identity and Access Management (IAM) execution role. Organizations manage their users in AWS SSO instead of the SageMaker domain.

Management 73

Management APIs Accountability Construction 73

AWS Machine Learning

JUNE 19, 2023

When creating your SageMaker domain, you can choose to use either AWS IAM Identity Center (successor to AWS Single Sign-On) or AWS Identity and Access Management (IAM) for user authentication methods. If you are using self-managed AD, you may use AD Connector. The EventBridge rule triggers the target AWS Lambda function.

APIs 70

APIs Accountability Construction Enterprise 70