IBM Cloud Watsonx Setup Guide
Key Points
- Create an IBM Cloud account (or log in) at cloud.ibm.com, verify via email, and accept the terms to access the platform.
- In the WatsonX data platform, start a new project (or use a sandbox), give it a name and description, and note the generated project ID.
- provision a free Watson Machine Learning service instance from the catalog, select the Lite plan, agree to the license, and create it.
- Generate an API key for Watson Machine Learning under “Manage Access → API keys” and save the key for tutorial use.
- Associate the new Watson Machine Learning service with your WatsonX project via Services and Integrations, then copy the project ID for future AI tutorial steps.
Sections
- Setting Up IBM Cloud Project - The speaker guides listeners through creating and verifying an IBM Cloud account, then navigating the Data Platform to create a new Watsonx project for tutorial use.
- Setting Up Watsonx API Access - The speaker walks through creating a Watson Machine Learning API key, copying the project ID, and linking the Watsonx service to the project so it’s ready for future tutorials.
Full Transcript
# IBM Cloud Watsonx Setup Guide **Source:** [https://www.youtube.com/watch?v=3sav6vUG_XQ](https://www.youtube.com/watch?v=3sav6vUG_XQ) **Duration:** 00:05:01 ## Summary - Create an IBM Cloud account (or log in) at cloud.ibm.com, verify via email, and accept the terms to access the platform. - In the WatsonX data platform, start a new project (or use a sandbox), give it a name and description, and note the generated project ID. - provision a free Watson Machine Learning service instance from the catalog, select the Lite plan, agree to the license, and create it. - Generate an API key for Watson Machine Learning under “Manage Access → API keys” and save the key for tutorial use. - Associate the new Watson Machine Learning service with your WatsonX project via Services and Integrations, then copy the project ID for future AI tutorial steps. ## Sections - [00:00:00](https://www.youtube.com/watch?v=3sav6vUG_XQ&t=0s) **Setting Up IBM Cloud Project** - The speaker guides listeners through creating and verifying an IBM Cloud account, then navigating the Data Platform to create a new Watsonx project for tutorial use. - [00:03:11](https://www.youtube.com/watch?v=3sav6vUG_XQ&t=191s) **Setting Up Watsonx API Access** - The speaker walks through creating a Watson Machine Learning API key, copying the project ID, and linking the Watsonx service to the project so it’s ready for future tutorials. ## Full Transcript
Hi everyone!
Today we are going to walk through the steps to get our environment
set up for following our IBM AI tutorials.
Our first step is setting up our IBM cloud account.
Of course, if this is already set up, you can skip this step for the rest of us.
We will head to cloud.ibm.com/login.
Next click to create an account link.
Enter your email and preferred password using the Safe Password guidelines.
Then click next.
Next, we'll wait for verification code
to come through to the email provided.
After we verified, we can enter our first and last name.
Then click next.
Accept the terms and conditions, then click continue to get into our IBM Cloud Account.
The next big step is to create a project in watsonx.
First we'll navigate over to dataplatform.cloud.ibm.com and log in.
Once you've logged in, head over to the hamburger menu
in the upper left corner of the screen and open the navigation menu.
Assuming it isn't already open,
click on the project menu and select View Projects.
You may already have
a sandbox project available, but for the purpose of our tutorials,
we'll create a new project by clicking the new project button
in the right corner above the projects list.
For some tutorials, we may be importing items
and we can follow those instructions separately, but if not, let's continue
with a fresh project.
We can enter the name of our project
and give it a description so we know what we are coming back to.
Then hit create.
It will take a few seconds,
but you should come to a basic dashboard for your project.
Next we can head to
cloud.ibm.com/catalogs/services/watson-machine-learning to set up our watson machine Learning service instance.
We can select the Lite plan as it's free and perfect for our tutorial purposes.
We can then head to the right column and click that we agree to the license agreement and click create.
Next let's go to manage access in Watson Machine Learning.
Select API keys from the left hand menu.
Now create an API key.
Save this API key to use for your tutorials.
Now head back to dataplatform.cloud.ibm.com/wx
And let's select the new project we created earlier.
Select the manage tab
and copy and paste the project ID.
You'll need it for the AI tutorials.
Finally, let's associate the Watson Machine Learning service we created with our project.
Go to Services and Integrations, Also under the manage tab.
Select Associate Service and then select the Watson Machine Learning service we just created to associatewith our project.
And that's it. You now have your watsonx API key and your project ready to use for future tutorials.