本課程涵蓋「AI 隱私權」和「AI 安全性」這兩個重要主題。我們將介紹實用的方法和工具，協助您運用 Google Cloud 產品和開放原始碼工具，導入 AI 隱私權和安全性的建議做法。
Responsible AI for Developers: Privacy & Safety - 繁體中文
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Responsible AI for Developers: Privacy & Safety - 繁體中文
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
定義 AI 隱私權和 AI 安全性。
說明用於保障資料和模型中 AI 隱私權的方法。
列出導入 AI 安全性的重要考量。
說明導入 AI 安全性的技術。
Details to know
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Recently updated!
August 2024
Assessments
2 assignments
Taught in Chinese (Traditional)
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There are 5 modules in this course
本單元介紹課程架構和目標。
What's included
1 video
本單元著重介紹 AI 隱私權，並提供多種技術與工具，保障資料和機器學習訓練的隱私權。
What's included
9 videos1 assignment1 app item
本單元著重介紹 AI 安全性，並提供多種技術與工具，保障 AI 安全性。
What's included
7 videos1 assignment1 app item
本單元介紹最重要的概念、工具和技術，概略說明整個課程內容。
What's included
1 video1 reading
連結至所有單元的學員用 PDF
What's included
4 readings
Instructor
Offered by
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Frequently asked questions
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.