Video description
Learn to use AWS Sagemaker Studio to build ML solutions. Example covered include Autopilot, Platform Overview, Architecture and features. Finally a Sagemaker Jumpstart example is walked through.
Table of contents
Product information
- Title: Using AWS Sagemaker
- Author(s):
- Release date: November 2021
- Publisher(s): Pragmatic AI Labs
- ISBN: 11172021VIDEOPAIML
You might also like
book
Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure
Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them …
video
AWS MasterClass: DevOps w/ AWS Command Line Interface (CLI)
In this course, we will focus on implementing DevOps practices in the cloud using an aggregation …
book
Learning AWS IoT
Learn to use AWS IoT services to build your connected applications with the help of this …
video
AWS Sagemaker Autopilot from Zero
Learn to AWS Sagemaker Autopilot from zero and deploy a model to production.
