Deliver high-performance ML models faster with MLOps tools

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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.
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⏭️ To download a copy of the slide deck from this webinar visit: pages.awscloud...
▶️ To access the workshop please visit: catalog.worksh...
👨🏻‍💻 Code: github.com/aws...
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Опубликовано:

13 сен 2024

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Комментарии : 10

@svitlanatuchyna7154 3 месяца назад

This tutorial is a good general overview of SageMaker for those who already have quite a lot of experience in ML. But it is definitely not suitable for beginners. The first part was easy to follow but the second part was more confusing.

@mmacasual- 9 месяцев назад

Great Tutorial

@be_present_now 7 месяцев назад

@awssupport Could you please record the tutorials in higher resolutions preferebly 1080p so that code is crisply visible for a better learning experience. Thanks!

@chsaloua 9 месяцев назад

Thank you guys for the tutorial. I had a problem implementing the scripts for SageMaker experiments. It appears that when working with SageMaker experiments, it's important to separate the training script from the SageMaker-specific code for managing experiments. So the "preprocessing.py" and "train.py" should not include any SageMaker-specific commands.

@GenAIML_senseNsimplicity 2 месяца назад

The github code repository does not have 00_EDA_Local.ipynb, 01_DataPrep.ipynb etc files. Where to find these files?

@sndrstpnv8419 Год назад

hi where is link for code pls

@awssupport Год назад

Hi there, I've passed along your request internally. 📨 We'll follow up if we're able to provide what you're looking for. If anything else comes up, explore our help options here: go.aws/get-help. 🔭 ^KB

@sndrstpnv8419 Год назад

@@awssupport any updates, why to hide open source code , what already was shown on video ?