# ChandraLingam/AmazonSageMakerCourse

<https://repo.masters-masters.com/en/repos/ChandraLingam/AmazonSageMakerCourse>

[Home](https://repo.masters-masters.com/en) › [ChandraLingam](https://repo.masters-masters.com/en/owners/ChandraLingam) › [AmazonSageMakerCourse](https://repo.masters-masters.com/en/repos/ChandraLingam/AmazonSageMakerCourse)

ChandraLingam/AmazonSageMakerCourse has 244 stars on GitHub. Its RepoMasters card: Prototype tier. In this AWS Machine Learning Specialty Course, You will…

| Field | Value |
| --- | --- |
| Owner | [ChandraLingam](https://repo.masters-masters.com/en/owners/ChandraLingam) |
| Stars | 244 |
| Forks | 407 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2019 |
| Topics | machine-learning, aws, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ChandraLingam/AmazonSageMakerCourse](https://github.com/ChandraLingam/AmazonSageMakerCourse) |

## Repository

In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate a…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
