AWS Developers | Deliver high-performance ML models faster with MLOps tools @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
Machine learning operations (MLOps) tools help you automate and standardize the ML lifecycle to productionize ML models faster without compromising model performance. Amazon SageMaker provides a breadth of mission-ready MLOps tools to experiment, train, test, deploy, and govern ML models at scale. In this session, learn how to use SageMaker to implement an end-to-end MLOps solution for your organization.
To learn more about the services featured in this talk, please visit: aws.amazon.com/sagemaker/mlops
⏭️ To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Deliver-high-performance-ML-models-faster-with-MLOps-tools_2023_VW-0715-MCL_OD
▶️ To access the workshop please visit: https://catalog.workshops.aws/mlops-from-idea-to-production/en-US
👨🏻💻 Code: github.com/aws-samples/amazon-sagemaker-from-idea-to-production
Subscribe to AWS Online Tech Talks On AWS:
youtube.com/@AWSDevelopers?sub_confirmation=1
Follow Amazon Web Services:
Official Website: aws.amazon.com/what-is-aws
Twitch: twitch.tv/aws
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☁️ 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
Machine learning operations (MLOps) tools help you automate and standardize the ML lifecycle to productionize ML models faster without compromising model performance. Amazon SageMaker provides a breadth of mission-ready MLOps tools to experiment, train, test, deploy, and govern ML models at scale. In this session, learn how to use SageMaker to implement an end-to-end MLOps solution for your organization.
To learn more about the services featured in this talk, please visit: aws.amazon.com/sagemaker/mlops
⏭️ To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Deliver-high-performance-ML-models-faster-with-MLOps-tools_2023_VW-0715-MCL_OD
▶️ To access the workshop please visit: https://catalog.workshops.aws/mlops-from-idea-to-production/en-US
👨🏻💻 Code: github.com/aws-samples/amazon-sagemaker-from-idea-to-production
Subscribe to AWS Online Tech Talks On AWS:
youtube.com/@AWSDevelopers?sub_confirmation=1
Follow Amazon Web Services:
Official Website: aws.amazon.com/what-is-aws
Twitch: twitch.tv/aws
Twitter: twitter.com/awsdevelopers
Facebook: facebook.com/amazonwebservices
Instagram: 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
