45 lines
3.1 KiB
ReStructuredText
45 lines
3.1 KiB
ReStructuredText
Introduction to Amazon SageMaker
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You have several options for how you can use Amazon SageMaker.
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1. IDE: `SageMaker Studio <https://docs.aws.amazon.com/sagemaker/latest/dg/studio.html>`_
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2. Console: `SageMaker Notebook Instances <https://docs.aws.amazon.com/sagemaker/latest/dg/notebooks.html>`_
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3. Command line & SDK: `AWS CLI <https://docs.aws.amazon.com/cli/latest/reference/sagemaker/index.html#cli-aws-sagemaker>`_, `boto3 <https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html>`_, & `SageMaker Python SDK <https://sagemaker.readthedocs.io/>`_
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4. 3rd party integrations: `Kubeflow <https://docs.aws.amazon.com/sagemaker/latest/dg/kubernetes-sagemaker-components-for-kubeflow-pipelines.html>`_ & `Kubernetes operators <https://docs.aws.amazon.com/sagemaker/latest/dg/kubernetes-sagemaker-operators.html>`_
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If you're new to SageMaker we recommend starting with more feature-rich SageMaker Studio.
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It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations.
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Studio offers teams and companies easy on-boarding for their team members, freeing them up from complex systems admin and security processes.
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Administrators control data access and resource provisioning for their users.
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Notebook Instances are another option.
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They have the familiar Jupyter and JuypterLab interfaces that work well for single users, or small teams where users are also administrators.
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Advanced users also use SageMaker solely with the AWS CLI and Python scripts using boto3 and/or the SageMaker Python SDK.
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Kubeflow users can setup workflows to use SageMaker directly as well. And Kubernetes users can setup their environment to use SageMaker operators for training and inference.
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This website offers examples for all types of customers and levels of expertise.
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But if you're just getting started, we recommend that you check out the videos for Studio and Notebook Instances to decide which is best for you.
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After you watch the video and complete on-boarding, you will have cloned this examples repo and be able to run the notebooks from this website from within SageMaker.
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Get started with SageMaker Studio
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----------------------------------
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.. raw:: html
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<div style="position: relative; padding-bottom: 5%; height: 0; overflow: hidden; max-width: 100%; height: auto;">
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<iframe width="560" height="315" src="https://www.youtube.com/embed/wiDHCWVrjCU" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</div>
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Get started with SageMaker Notebook Instances
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---------------------------------------------
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.. raw:: html
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<div style="position: relative; padding-bottom: 5%; height: 0; overflow: hidden; max-width: 100%; height: auto;">
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<iframe width="560" height="315" src="https://www.youtube.com/embed/X5CLunIzj3U" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</div>
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