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tutorials/ai-core-and-LP-provisioning-GA/ai-core-and-LP-provisioning-GA.md

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tutorials/ai-core-and-launchpad-provisioning/ai-core-and-launchpad-provisioning.md

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### Provision SAP AI Core in your global account
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Go to the BTP Control Center and select your global account. Click `+`.
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<!-- border -->![Access the Control Centre](img/btpcontrolcentre.png)
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<!-- border -->![Access the Control Centre](img/btpcontrolcentrecore.png)
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Enter the name of your global account in the dialog box. Select SAP AI Core as your service, and click `Next`.
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> **Note:** SAP AI Launchpad is optional, but is the recommended interface for use with SAP AI Core.
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Follow the same provisioning steps as before, but select `SAP AI Launchpad` when you select the service and set the entitlements.
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Edit your account and follow the same provisioning steps as before, but select `SAP AI Launchpad` when you select the service and set the entitlements.
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<!-- border -->![Access the Control Centre](img/btpcontrolcentrelp.png)
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<!-- border -->![SAP AI Launchpad account information](img/accountinfolp.png)
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<!-- border -->![Assign SAP AI Launchpad as a service](img/assignserviceslp.png)
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<!-- border -->![Set SAP AI Launchpad as entitlement](img/setentitlementslp.png)
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tutorials/ai-core-data/ai-core-data.md

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parser: v2
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auto_validation: true
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time: 45
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tags: [ tutorial>beginner, topic>artificial-intelligence, topic>machine-learning, software-product>sap-ai-launchpad, software-product>sap-ai-core ]
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tags: [ tutorial>license, tutorial>beginner, topic>artificial-intelligence, topic>machine-learning, software-product>sap-ai-launchpad, software-product>sap-ai-core ]
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primary_tag: software-product>sap-ai-core
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author_name: Dhrubajyoti Paul
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author_profile: https://github.com/dhrubpaul
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### Create cloud storage for datasets and models
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### Why use cloud storage?
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## Why use cloud storage?
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SAP AI Core only provides your ephemeral (short-lived) storage, while training or inferencing a model. Amazon Web Services (AWS) S3 Object store is the cloud storage used by SAP AI Core for storing datasets and models. Here, they can be stored over a longer time period, and can be transferred to and from SAP AI Core during training or online inferencing.
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You need to create AWS S3 object store, using one of the following links:
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[OPTION END]
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- The Resource Group must be `default`
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- The `Name` field is your choice of identifier for your secret within SAP AI Core.
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- Entries to the other fields are found in your AWS account.
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> ### Why not put a complete path to train.csv as `pathPrefix`?
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> You might have noticed that previously you uploaded data to `example-dataset/house-price-toy/data/jan/train.csv` but here in object store secret the `pathPrefix` is you set the value `example-dataset/house-price-toy`. This is because the use of `pathPrefix` is to restrict access to particular directory of your cloud storage.
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