Model Deployment with Amazon SageMaker
Offered By: Pluralsight
Course Description
Overview
Discover how to effectively deploy machine learning
models using Amazon SageMaker. This course will teach
you how to deploy, monitor, and optimize models in
production, ensuring cost-effective and scalable
solutions for your ML projects.
Deploying machine learning models to production can be complex and challenging, often involving multiple tools and workflows. In this course, Model Deployment with Amazon SageMaker, you’ll learn to efficiently deploy and manage models in production. First, you’ll explore how to deploy models using SageMaker’s various tools and endpoints. Next, you’ll discover how to monitor, update, and manage these deployments. Finally, you’ll learn how to optimize costs and manage resources effectively. When you’re finished with this course, you’ll have the skills and knowledge to confidently deploy and maintain models using Amazon SageMaker.
models using Amazon SageMaker. This course will teach
you how to deploy, monitor, and optimize models in
production, ensuring cost-effective and scalable
solutions for your ML projects.
Deploying machine learning models to production can be complex and challenging, often involving multiple tools and workflows. In this course, Model Deployment with Amazon SageMaker, you’ll learn to efficiently deploy and manage models in production. First, you’ll explore how to deploy models using SageMaker’s various tools and endpoints. Next, you’ll discover how to monitor, update, and manage these deployments. Finally, you’ll learn how to optimize costs and manage resources effectively. When you’re finished with this course, you’ll have the skills and knowledge to confidently deploy and maintain models using Amazon SageMaker.
Syllabus
- Deploying Models with Amazon SageMaker 19mins
Taught by
Bogdan Sucaciu
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