Managing Your ML Development Lifecycle with Amazon SageMaker - AWS Webinar

14 Views

Thanks! Share it with your friends!

You disliked this video. Thanks for the feedback!

Published Feb 20, 2025

SageMaker is an end-to-end ML framework. We'll review how SageMaker supports data scientists development lifecycle including, integration with Git source control, Notebook life-cycle, SageMaker Search for reviewing past experiments, tracking model lineage, hyper parameters optimization, etc. During the session we'll use the tools above, and integrate them with an end-to-end ML pipeline. Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1

Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices

☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.

#AWS