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## Data Science Project & Jupyter Notebook Setup | ||
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1. Login to OpenShift AI. The link to this will be provided by your instructor. | ||
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![openshiftai.png](./images/openshiftai.png) | ||
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2. Go to `Data Science Projects` and click `Create data science project` to create your own experimentation environment. | ||
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![datascienceproject.png](./images/datascienceproject.png) | ||
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TODO: naming convention , team setup ? | ||
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3. minio | ||
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4. notebook & data connection | ||
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5. Argo CD ? Vault ? |
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# Exercise 1 - The Rise of the Cluster | ||
> Install the cluster, configure infrastructure applications | ||
## 👨🍳 Exercise Intro | ||
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In this exercise, we will walk through the steps we take in order to have a ready environment for all the other exercises. | ||
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## 🖼️ Big Picture | ||
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TODO: add diagram | ||
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![empty-big-picture](images/big-picture-empty.jpg) | ||
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## 🔮 Learning Outcomes | ||
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- [ ] Get familiar with OpenShift & OpenShift AI and foundational practices like GitOps | ||
- [ ] Can get the necessary toolings to start experimenting | ||
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## 🔨 Tools used in this exercise! | ||
* OpenShift 4.15+ | ||
* OpenShift AI | ||
* Jupyter Notebook | ||
* Helm | ||
* Minio for S3-compitable storage |
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* [Home](/) | ||
* [1. Tooling Installation ](1-tooling-installation/README.md) | ||
* [1. Rise of the Cluster ](1-the-rise-of-the-cluster/README.md) | ||
* [🚀 Tooling Installation](1-the-rise-of-the-cluster/1-tooling-installation.md) |