Deploy an ML model for best performance, cost, and prediction quality - AWS Online Tech Talks

High performance and cost-effective deployment techniques can help you maximize the return on your machine learning investments. ML engineers, join us for a hands-on demo showing how to use Amazon SageMaker to optimize inference workloads and reduce infrastructure costs.

Learning Objectives:
* Objective 1: Discover how to easily deploy ML models for any use case.
* Objective 2: Learn how to achieve the best inference performance and cost.
* Objective 3: Find out how to reduce operational burden and accelerate time to value.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/deploy/ Subscribe to AWS Online Tech Talks On AWS:
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