Responsible AI for Developers: Interpretability & Transparency

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3 hours

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Intermediate

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{'PM', 'ML Engineer', 'AI/Data Engineer', 'Developer'}

+500 pts

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.

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Before proceeding with the deletion of the record from the object, it's crucial to review its dependencies across various components.

Please take a moment to examine all the dependent components where this record is being utilized.

Table of dependent components where the record is being utilized.
Object	Field	Row ID

I understand the risks and choose to proceed with the deletion

Responsible AI for Developers: Interpretability & Transparency

Module Content

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