Responsible AI for Developers: Interpretability & Transparency

Google Cloud via Coursera

Go to Course: https://www.coursera.org/learn/responsible-ai-for-developers-interpretabilitytransparency

Introduction

Define interpretability and transparency as it relates to AI

Describe the importance of interpretability and transparency in AI

Explore the tools and techniques used to achieve interpretability and transparency in AI

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

Overview

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.

Skills

Reviews

The thing that i liked is the hands on laboratory on Vertex AI.

This course can be longer than this with additional in-depth information on the different tools used