Google Cloud
Responsible AI for Developers: Interpretability & Transparency

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Google Cloud

Responsible AI for Developers: Interpretability & Transparency

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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

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Build your subject-matter expertise

This course is part of the Responsible AI for Developers Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

This module introduces the course structure and objectives.

What's included

1 video

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.

What's included

9 videos1 assignment1 app item

This module provides a summary of the entire course by covering the most important concepts, tools, and technologies.

What's included

1 video1 reading

Student PDF links to all modules

What's included

3 readings

Instructor

Google Cloud Training
Google Cloud
1,661 Courses2,745,844 learners

Offered by

Google Cloud

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