From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Hands-on learning: Loading data into model training resource

Hands-on learning: Loading data into model training resource

From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Hands-on learning: Loading data into model training resource

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(somber music) - [Narrator] Hello guys and welcome again. In today's lesson, we're going to walk you through how you would load the training data into the model training resource. So when you would create a training job, you would specify the location of the training data sets in a data storage that you want, and also the data input mode for this job. For Amazon SageMaker AI, it supports the Amazon S3, Amazon Elastic file system, which is the EFS and the Amazon FSx for Lustre. You can then choose one of those input modes in order to stream the dataset in real time, or even download the whole dataset at the start of the training job. But there is one note you would need to take care about that your dataset must reside in the same AWS region as your training job. We've mentioned that there are different modes for loading the data into the model training resource. The first mode that we have is the default Amazon S3 file mode. So SageMaker in this mode downloads the entire dataset to the…

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