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.
Learning Objectives:
* Objective 1: Learn about MLOps best practices
* Objective 2: Explore Amazon SageMaker MLOps tools
* Objective 3: Deep dive into an interactive demo
***To learn more about the services featured in this talk, please visit:
****To download a copy of the slide deck from this webinar visit: Subscribe to AWS Online Tech Talks On AWS:
Follow Amazon Web Services:
Official Website:
Twitch:
Twitter:
Facebook:
Instagram:
☁️ 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
[ad_2]
source