When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Responsible AI for Developers: Privacy & Safety - 한국어

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Responsible AI for Developers: Privacy & Safety - 한국어

Instructor: Google Cloud Training

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

5 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

AI 개인 정보 보호와 AI 안전을 정의합니다.
데이터와 모델 모두에서 AI 개인 정보 보호 문제를 해결하는 데 사용하는 방법을 설명합니다.
AI 안전 구현을 위한 주요 고려사항을 나열합니다.
AI 안전을 구현할 때 사용하는 기술을 설명합니다.

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in Korean

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 5 modules in this course

이 과정에서는 AI 개인 정보 보호 및 안전에 관한 중요한 주제를 소개합니다. Google Cloud 제품과 오픈소스 도구를 사용하여 AI 개인 정보 보호 및 안전 권장사항을 구현하는 실용적인 방법과 도구를 살펴봅니다.

이 모듈에서는 과정 구성과 목표를 소개합니다.

What's included

1 video

이 모듈에서는 AI 개인 정보 보호를 중점적으로 다룹니다. 데이터 및 머신러닝 학습에서 개인 정보 보호를 달성하는 데 도움이 되는 다양한 기법과 도구를 소개합니다.

What's included

9 videos1 assignment1 app item

9 videosTotal 40 minutes

AI 개인 정보 보호 개요3 minutes
학습 데이터의 개인 정보 보호: 익명화 기법8 minutes
학습 데이터의 개인 정보 보호: 무작위 순서 지정 기법6 minutes
머신러닝 학습의 개인 정보 보호: DP-SGD3 minutes
머신러닝 학습의 개인 정보 보호: 제휴 학습7 minutes
Google Cloud의 시스템 보호4 minutes
생성형 AI의 시스템 보안4 minutes
실습: TensorFlow Privacy를 사용한 머신러닝의 개인 정보 차등 보호1 minute
Coursera: Google Cloud 및 Qwiklabs 시작하기5 minutes

1 assignmentTotal 6 minutes

Module 1: 퀴즈6 minutes

1 app itemTotal 90 minutes

실습: TensorFlow Privacy를 사용한 머신러닝의 개인 정보 차등 보호90 minutes

이 모듈에서는 AI 안전을 중점적으로 다룹니다. AI에서 안전을 달성하는 데 도움이 되는 다양한 기법과 도구를 소개합니다.

What's included

7 videos1 assignment1 app item

7 videosTotal 36 minutes

AI 안전 개요6 minutes
안전 평가7 minutes
피해 방지8 minutes
안전을 위한 모델 학습: 지시문 미세 조정4 minutes
안전을 위한 모델 학습: RLHF3 minutes
Google Cloud 생성형 AI의 안전7 minutes
실습: Vertex AI Gemini API를 통한 보호0 minutes

1 assignmentTotal 6 minutes

Module 2: 퀴즈6 minutes

1 app itemTotal 90 minutes

실습: Vertex AI Gemini API를 통한 보호90 minutes

이 모듈에서는 가장 중요한 개념, 도구, 기술을 살펴보면서 전체 과정을 요약합니다.

What's included

1 video1 reading

모든 모듈에 대한 학생 PDF 링크

What's included

4 readings

Instructor

Google Cloud Training

Google Cloud

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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.