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Protecting Sensitive Data in Gen AI Model Responses

By External Provider

Price

Free

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Level

INTERMEDIATE

Duration

1 h 30 min

About this course

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you implement sensitive data protection for real-time Gen AI model results.

What you will learn

  • Access a pre-created Jupyter notebook in a Vertex AI Workbench instance
  • Install Python packages for Vertex AI and Cloud Data Loss Prevention API. Generate example text with sensitive data using the Gemini 1.0 Pro model
  • Define and run Python functions to redact different types of sensitive data in Gemini 1.0 Pro model responses using the DLP API