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Introduction to Responsible AI in Practice

Put responsible AI principles into practice in one day.

1 dayFoundation1 modules
Overview

About this course

Put responsible AI principles into practice in one day. You will review core AI principles, check machine learning models for unfair bias, interpret model behaviour in human-understandable terms, protect sensitive data in ML applications and apply safety techniques to generative AI applications.

What you'll learn

What you'll learn

  • 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
Curriculum

Curriculum

1 modules
  • AI Principles and Responsible AI
  • Fairness in AI
  • Interpretability of AI
  • Privacy in ML
  • AI Safety
Who it's for

Who it's for

ML practitioners, data scientists and AI governance teams.

Before you start

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

Let's plan your next step together.

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