Login to IBM Cloud
Browse to Catalog
Search for Watson Studio. Watson Studio under AI gets listed.
Click on Watson Studio to create
Provide the Service Name. Choose a region / location to Deploy In. Select a resource group. Select the Pricing Plan that works for you. Click on create
The Previous step completes deployment and Watson Studio would be ready for usage. Click on Get Started. This loads user Information.
Create New Project
Click on New Project – You can select any of the options available. For Ex: select Experiment Assistant -> This automatically provisions the required Watson Machine Learning and Cloud Object Storage Services.
If you do not have those services already provisioned, select the region in which you want those services to be provisioned and create the services and have them provisioned. When you do, you can see the service instance names for cloud storage and Watson Machine Learning services.
Name the Project and descripe
Provide Project Name and Description and then click create.
Look for Associated Services
Click on project Settings to see the associated services. If you want to add more services, you can add them under Associated Services by clicking on Add Service.
Add Spark Service
Go to project Settings to see the associated services. Under Associated Services, click on Add Service. Select Spark from the dropdown list. On adding Spark service, you will taken to the provisioning screen. Select the plan that works for you and then click create.
If you go back to the project and select Settings and scroll down, you would see all associated services in there.
Create Access Token
All projects need a Access token that is used to access data assets. For ex: Files and Connections. These Access tokens are used by Platform APIs.
So, in Settings, under Access Tokens, click on New Token. Provide a Name and Select Viewer or Editor as the roles and then click create.
Now, if you go back to Access Tokens under Settings of your project, you would see the New Token you created.
You are Ready
Now, you are ready to start using Watson Machine Learning in this Project.