overview here -> detailed in az model creation

Author: brown9804

README.md

@@ -229,18 +229,6 @@ Read more about [Endpoints for inference in production](https://learn.microsoft.
 | **Attached Compute** | External compute resources manually connected to Azure ML. | Leverage existing infrastructure. | Using Azure VMs, Databricks, or on-prem compute. | Flexibility, hybrid cloud support, reuse of existing resources. |
 | **Serverless Instances** | Lightweight, on-demand compute (e.g., Azure Container Instances). | Quick testing and low-scale inference. | Temporary model deployment, dev/test environments. | No infrastructure management, fast startup, cost-effective. |
 
-> How to create a Compute Instance: 
- 
-1. **Go to Azure Machine Learning Studio**: Navigate to [ml.azure.com](https://ml.azure.com/) and select your workspace.
-2. **Select `Compute` from the left menu**  Choose the **`Compute instances`** tab.
-3. **Click `New`**  
-   - Enter a name for your compute instance.
-   - Choose a virtual machine size (e.g., `Standard_DS3_v2`).
-   - Optionally, enable SSH access or assign a user.
-4. **Click `Create`**: Azure will provision the compute instance, which may take a few minutes.
-
-    https://github.com/user-attachments/assets/bd5f3ce6-7082-4741-8827-8b344cd249a4
-
 </details>
 
 <details>