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This course is part of Responsible AI for Developers Specialization
Instructor: Google Cloud Training
Included with 
(11 reviews)
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
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1 assignment
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This module introduces the course structure and objectives.
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.
9 videos1 assignment1 app item
This module provides a summary of the entire course by covering the most important concepts, tools, and technologies.
1 video1 reading
Student PDF links to all modules
3 readings
11 reviews
90.90%
9.09%
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Showing 3 of 11
Reviewed on Jun 20, 2024
This course can be longer than this with additional in-depth information on the different tools used
Reviewed on Jun 30, 2024
The thing that i liked is the hands on laboratory on Vertex AI.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
Financial aid available,
