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DataCamp

Responsible AI for Developers: Interpretability & Transparency

via DataCamp

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Overview

This course introduces concepts of AI interpretability and transparency.

This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.

Syllabus

  • Course Introduction
    • This module introduces the course structure and objectives.
  • AI Interpretability & Transparency
    • This module focuses on AI interpretability and transparency. It provides various techniques and tools to help achieve interpretability and transparency in both data and AI models.
  • Course Summary
    • This module provides a summary of the entire course by covering the most important concepts, tools, and technologies.
  • Course Resources
    • Student PDF links to all modules

Taught by

Google Cloud

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