このコースでは、AI のプライバシーと安全性に関する重要なトピックを紹介します。具体的には、Google Cloud プロダクトとオープンソース ツールを使用して AI のプライバシーと安全性の推奨プラクティスを実装するための実践的な方法とツールを検証します。
Responsible AI for Developers: Privacy & Safety - 日本語版
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Responsible AI for Developers: Privacy & Safety - 日本語版
Taught in Japanese
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
AI のプライバシーと AI の安全性とは何かを定義する。
データとモデルの両方で AI のプライバシーを確保するために使用される方法を説明する。
AI の安全性を実装するために考慮すべき主な事項を挙げる。
AI の安全性を実装するための手法について説明する。
Details to know
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Recently updated!
August 2024
Assessments
2 assignments
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There are 5 modules in this course
このモジュールでは、コースの構成と目的について説明します。
What's included
1 video
このモジュールでは、AI のプライバシーに焦点を合わせます。データや ML トレーニングでプライバシーを確保する上で役立つさまざまな手法やツールを紹介します。
What's included
9 videos1 assignment1 app item
このモジュールでは、AI の安全性に焦点を合わせます。AI において安全性を確保する上で役立つさまざまな手法やツールを紹介します。
What's included
7 videos1 assignment1 app item
このモジュールでは、最も重要なコンセプト、ツール、テクノロジーについて取り上げ、コース全体の概要を説明します。
What's included
1 video1 reading
すべてのモジュールへの受講者用 PDF リンク
What's included
4 readings
Instructor
Offered by
Recommended if you're interested in Cloud Computing
University of Minnesota
University of Minnesota
University of Colorado Boulder
University of Minnesota
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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.