GCP-IRAIP

Introduction to Responsible AI in Practice Training

In this course, you will do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.

Course Details

Duration

1 day

Prerequisites

  • Familiarity with basic concepts of machine learning
  • Familiarity with basic concepts of generative AI on Google Cloud in Vertex AI

Target Audience

Machine learning practitioners and AI application developers wanting to leverage generative AI in a responsible manner.

Skills Gained

  • Overview of Responsible AI principles and practices
  • Implement processes to check for unfair biases within machine learning models
  • Explore techniques to interpret the behavior of machine learning models in a human-understandable manner
  • Create processes that enforce the privacy of sensitive data in machine learning applications
  • Understand techniques to ensure safety for generative AI-powered applications
Course Outline
  • AI Principles and Responsible AI
    • Google's AI Principles
    • Responsible AI practices
    • General best practices
  • Fairness in AI
    • Overview of Fairness in AI
    • Examples of tools to study fairness of datasets and models
    • Lab: Using TensorFlow Data Validation and TensorFlow Model Analysis to Ensure Fairness
  • Interpretability of AI
    • Overview of Interpretability in AI
    • Metric selection
    • Taxonomy of explainability in ML Models
    • Examples of tools to study interpretability
    • Lab: Learning Interpretability Tool for Text Summarization
  • Privacy in ML
    • Overview of Privacy in ML
    • Data security
    • Model security
    • Security for Generative AI on Google Cloud
  • AI Safety
    • Overview of AI Safety
    • Adversarial testing
    • Safety in Gen AI Studio
    • Lab: Responsible AI with Gen AI Studio
Upcoming Course Dates
USD $900
Online Virtual Class
Scheduled
Date: Jan 21, 2025
Time: 9 AM - 5 PM ET
Partner Registration

The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.

You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.

USD $900
Online Virtual Class
Scheduled
Date: Jul 21, 2025
Time: 9 AM - 5 PM ET
Partner Registration

The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.

You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.