Monday, September 19, 2022 | 3:00 PM - 4:30 PM IST
Course Details
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review the key Amazon SageMaker features.
Topics Covered:
In this course, you will learn how to:
- Describe where Amazon SageMaker fit into the machine learning pipeline
- Describe Amazon SageMaker data formats
- Use Amazon SageMaker to train, evaluate, and automatically tune a model
Who Should Attend?
This course is intended for:
- Developers
- Solution Architects
- Data Engineers
Speaker
AWS Technical Trainer
Intro body copy here about 2018 re:Invent launches.
Reserve your seat in the virtual class:
Compute
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.
Data Lakes & Analytics
Webinar 1:
What's New / Cloud Innovation
December 10th, 2018 | 11:00 AM PT
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