From the course: AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 1 Collection
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Using SageMaker Studio Lab - Amazon Web Services (AWS) Tutorial
From the course: AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 1 Collection
Using SageMaker Studio Lab
- [Instructor] Amazon SageMaker Studio Lab is a free environment for prototyping out machine learning projects. It's based on Jupyter Notebook Lab. There are a couple different options you can see here. There are CPU options as well as GPU. The GPU option is one of the more compelling for doing modern machine learning workflows especially things around pre-trained models. If you go through here and take a look, there is a course that you can follow, AWS Machine Learning University as well as resources like a Hugging Face integration here. And you can see if you select Open Hugging Face notebooks it'll prompt you to copy this project into your SageMaker Studio Lab environment. I've already got that running. And so if I go over here and I take a look at SageMaker Studio Lab I can go through very quickly all of the resources that are copied over from the tutorials and also dive into some of the other features. So let's go…
Contents
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Overview3m 1s
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Technology prerequisites3m
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Using SageMaker Studio Lab7m 4s
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Learn AWS CloudShell11m 59s
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The cloud developer workspace advantage4m 10s
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Prototyping AI APIs on AWS with CloudShell and Bash12m 39s
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Using AWS Cloud9 with Amazon CodeWhisperer9m 17s
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