Vertex AI is a game-changer in the world of machine learning, offering a robust platform for data scientists and engineers to build, deploy, and manage their models. One of the most exciting features of Vertex AI is its notebook capability, which allows users to write and execute code in a collaborative environment. But, have you ever wondered how to run a Vertex AI notebook with user credentials? Look no further! In this comprehensive guide, we’ll take you by the hand and walk you through the process, step-by-step.
- Why Run a Vertex AI Notebook with User Credentials?
- Prerequisites
- Step 1: Create a Service Account and Generate Credentials
- Step 2: Create a User Account and Generate Credentials
- Step 3: Configure Your Environment
- Step 4: Create a New Vertex AI Notebook
- Step 5: Start the Notebook and Authenticate
- Accessing Your Notebook
- Common Errors and Troubleshooting
- Conclusion
Why Run a Vertex AI Notebook with User Credentials?
Before we dive into the instructions, let’s quickly discuss the benefits of running a Vertex AI notebook with user credentials:
- Security**: By using user credentials, you can control access to your notebook and ensure that only authorized users can view or edit your code.
- Collaboration**: Running a notebook with user credentials enables seamless collaboration with team members, allowing you to work together on projects in real-time.
- Customization**: With user credentials, you can tailor your notebook experience to your specific needs, including customizing your environment, dependencies, and workflows.
Prerequisites
Before you begin, make sure you have the following prerequisites in place:
- A GCP project with Vertex AI enabled
- A service account with the necessary permissions (e.g.,
roles/vertexai.editororroles/vertexai.admin) - A user account with a valid email address and password
- Google Cloud CLI installed and configured on your system
Step 1: Create a Service Account and Generate Credentials
In this step, we’ll create a service account and generate credentials that we’ll use to authenticate with Vertex AI.
gcloud iam service-accounts create my-vertex-ai-sa \
--display-name "My Vertex AI Service Account"
gcloud iam service-accounts keys create my-vertex-ai-sa-key.json \
--iam-account my-vertex-ai-sa@.iam.gserviceaccount.com
Replace
Step 2: Create a User Account and Generate Credentials
In this step, we’ll create a user account and generate credentials that we’ll use to authenticate with Vertex AI.
gcloud alpha auth login --project
gcloud alpha auth application-default login
This will prompt you to enter your email address and password. Enter the credentials for the user account you want to use.
Step 3: Configure Your Environment
In this step, we’ll configure your environment to use the service account and user credentials we generated earlier.
export GOOGLE_APPLICATION_CREDENTIALS=my-vertex-ai-sa-key.json
gcloud auth activate-service-account my-vertex-ai-sa@.iam.gserviceaccount.com \
--key-file=my-vertex-ai-sa-key.json
Step 4: Create a New Vertex AI Notebook
In this step, we’ll create a new Vertex AI notebook using the user credentials we generated earlier.
gcloud notebooks instances create my-vertex-ai-notebook \
--location us-central1-a \
--machine-type n1-highmem-16 \
--accelerator-type NVIDIA_TESLA_V100 \
--boot-disk-size 100GB \
--boot-disk-type HDD \
--image-family tf-latest-cpu-experimental \
--service-account my-vertex-ai-sa@.iam.gserviceaccount.com \
--user-email
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Step 5: Start the Notebook and Authenticate
In this final step, we’ll start the notebook and authenticate using the user credentials.
gcloud notebooks instances start my-vertex-ai-notebook
gcloud notebooks instances get-iam-policy my-vertex-ai-notebook
gcloud notebooks instances set-iam-policy my-vertex-ai-notebook \
--member user: --role roles/vertexai.editor
This will start the notebook and grant the user account editor permissions.
Accessing Your Notebook
Now that we’ve completed the setup, let’s access our notebook:
gcloud notebooks instances describe my-vertex-ai-notebook --format="value(proxyUri)"
open
This will open the notebook in your default web browser, where you can sign in with your user credentials and start working on your project.
Common Errors and Troubleshooting
If you encounter any issues during the setup process, here are some common errors and troubleshooting tips:
| Error | Solution |
|---|---|
| Permission denied | Check that the service account and user account have the necessary permissions (e.g., roles/vertexai.editor or roles/vertexai.admin) |
| Authentication failed | Verify that the user credentials are correct and that the service account key file is in the correct location |
| Notebook instance not found | Check that the notebook instance exists and that the region and zone are correct |
Conclusion
Running a Vertex AI notebook with user credentials is a powerful way to collaborate with team members and control access to your code. By following the steps outlined in this guide, you should now be able to create and manage notebooks with user credentials. Remember to troubleshoot any issues that arise and adjust your setup as needed.
Happy coding!
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This article is optimized for the keyword “Run Vertex AI notebook with user credential” and provides clear, step-by-step instructions for setting up and running a Vertex AI notebook with user credentials. The article covers the benefits, prerequisites, and common errors associated with this process, making it a comprehensive guide for users of all levels.Here are the 5 Questions and Answers about “Run Vertex AI notebook with user credential” with a creative voice and tone:
Frequently Asked Question
Get your Vertex AI notebook up and running with user credentials – we’ve got the answers to your burning questions!
What is the benefit of running Vertex AI notebook with user credentials?
Running Vertex AI notebook with user credentials allows you to access your personal files, datasets, and other resources directly from your notebook. This means you can work on your projects without having to worry about permissions or access issues!
How do I authenticate with Vertex AI using my user credentials?
Easy peasy! You can authenticate with Vertex AI using your user credentials by running the `gcloud auth` command in your notebook. This will prompt you to log in with your Google account, and voilà! You’re authenticated and ready to go!
What are the security implications of running Vertex AI notebook with user credentials?
Don’t worry, we’ve got you covered! Running Vertex AI notebook with user credentials uses OAuth 2.0, which ensures that your credentials are secure and protected. Vertex AI also adheres to Google Cloud’s robust security and compliance standards, so you can rest assured that your data is safe and sound!
Can I use my user credentials to access Vertex AI datasets and models?
Absolutely! When you run your Vertex AI notebook with user credentials, you can access your personal datasets and models directly from your notebook. This means you can work on your projects seamlessly, without having to worry about permission issues or data access!
What happens if I forget to authenticate with my user credentials?
Oops, no worries! If you forget to authenticate with your user credentials, you’ll simply receive an error message prompting you to log in. Just run the `gcloud auth` command again, and you’ll be good to go! Your work will be saved, and you can pick up where you left off.
