HI @Abrarali8708 

The quickest workaround is to create your Databricks workspace in a region like East US, South East Asia, or West Europe, where VM availability is less constrained

In parallel 

1: Install Azure CLI
2: Log in to Your Azure Account
3: List Available VM Sizes in Central India

Now try:

```bash
az vm list-sizes --location centralindia --output table
```

You’ll get a table with columns like:

```
Name NumberOfCores MemoryInMb MaxDataDiskCount
------------------ -------------- ----------- ----------------
Standard_D2_v2 2 7168 8
Standard_D3_v2 4 14336 16
...
```

You can compare these VM names (`Standard_D2_v2`, `Standard_D3_v2`, etc.) against Databricks node types to know what’s available.

I would recommend Create a new Databricks workspace in East US or West Europe, and

Try node types like:

Standard_DS3_v2

Standard_D4_v2

Standard_D4ds_v4

These always work for student subscriptions.