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생성형 AI란 무엇이고 어떻게 사용하며 전통적인 머신러닝 방법과는 어떻게 다른지 설명하는 입문용 마이크로 학습 과정입니다. 직접 생성형 AI 앱을 개발하는 데 도움이 되는 Google 도구에 대해서도 다룹니다.
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What's inside
Syllabus
생성형 AI 소개
생성형 AI란 무엇이고 어떻게 사용하며 전통적인 머신러닝 방법과는 어떻게 다른지 설명하는 입문용 마이크로 학습 과정입니다. 직접 생성형 AI 앱을 개발하는 데 도움이 되는 Google 도구에 대해서도 다룹니다.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines Generative AI, which is a cutting-edge technology in high demand in industry
Provides hands-on experience with Google's tools, making it practical and useful for real-world application
Taught by Google Cloud Training, ensuring high-quality instruction and industry expertise
Introductory-level, making it suitable for beginners
Focuses on Generative AI, which is a specialized area within machine learning
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Generative AI - 한국어 with these
activities:
개인 학습 노트 정리 및 체계화
Show steps
코스 자료 정리, 개인 노트 작성, 키 개념 요약을 통해 학습된 정보를 통합하여 보존하세요.
Show steps
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강의 노트, 과제, 퀴즈 복습
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주요 개념과 아이디어 요약 및 구성
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개념 간의 연결 파악
TensorFlow와 PyTorch를 사용한 재생성형 AI 모델 구축
Show steps
TensorFlow와 PyTorch의 전문가가 제공하는 가이드를 따라 고급 재생성형 AI 모델을 개발하세요.
Browse courses on
TensorFlow
Show steps
-
TensorFlow 또는 PyTorch 프레임워크 선택
-
레퍼런스 자료와 튜토리얼을 사용하여 모델 아키텍처 학습
-
데이터 전처리 및 모델 훈련
Show all two activities
개인 학습 노트 정리 및 체계화
Show steps
코스 자료 정리, 개인 노트 작성, 키 개념 요약을 통해 학습된 정보를 통합하여 보존하세요.
Show steps
Show steps
Show steps
- 강의 노트, 과제, 퀴즈 복습
- 주요 개념과 아이디어 요약 및 구성
- 개념 간의 연결 파악
TensorFlow와 PyTorch를 사용한 재생성형 AI 모델 구축
Show steps
TensorFlow와 PyTorch의 전문가가 제공하는 가이드를 따라 고급 재생성형 AI 모델을 개발하세요.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- TensorFlow 또는 PyTorch 프레임워크 선택
- 레퍼런스 자료와 튜토리얼을 사용하여 모델 아키텍처 학습
- 데이터 전처리 및 모델 훈련
Show all two activities
Career center
Learners who complete Introduction to Generative AI - 한국어 will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use various tools and techniques to extract knowledge from data, including generative AI. This course can help you build a foundation in generative AI, which can be a valuable asset to your skillset.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop systems that use machine learning to solve problems. Generative AI is a rapidly growing field, and this course can help you stay ahead of the curve by providing you with a solid understanding of the fundamentals.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. Generative AI can be used to create new products or improve existing products. This course can help you learn how to use generative AI to develop better products.
Software Engineer
Software Engineer
Software Engineers build and maintain software systems. Generative AI is a powerful tool that can be used to improve the efficiency and accuracy of software development. This course can help you learn how to use generative AI to create better software.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring customer satisfaction. Generative AI can be used to create more personalized and effective customer support. This course can help you learn how to use generative AI to improve your customer success efforts.
Sales Manager
Sales Manager
Sales Managers are responsible for generating and closing sales. Generative AI can be used to create more personalized and effective sales pitches. This course can help you learn how to use generative AI to improve your sales performance.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns. Generative AI can be used to create more personalized and effective marketing campaigns. This course can help you learn how to use generative AI to improve your marketing campaigns.
Operations Manager
Operations Manager
Operations Managers are responsible for overseeing the day-to-day operations of a company. Generative AI can be used to improve the efficiency and accuracy of operations. This course can help you learn how to use generative AI to streamline your operations.
Educator
Educator
Educators teach students in a variety of settings. Generative AI can be used to create more personalized and effective learning experiences. This course can help you learn how to use generative AI to improve your teaching skills.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance. Generative AI can be used to create more accurate and timely business forecasts. This course can help you learn how to use generative AI to improve your business analysis skills.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data. Generative AI can be used to improve the efficiency and accuracy of data analysis. This course can help you learn how to use generative AI to improve your data analysis skills.
Financial Analyst
Financial Analyst
Financial Analysts provide financial advice to businesses and individuals. Generative AI can be used to create more accurate and timely financial forecasts. This course can help you learn how to use generative AI to improve your financial analysis.
Consultant
Consultant
Consultants provide advice to businesses and individuals. Generative AI can be used to create more personalized and effective consulting solutions. This course can help you learn how to use generative AI to improve your consulting services.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. Generative AI can be used to create new products or improve existing products. This course can help you learn how to use generative AI to develop and launch your own business.
Researcher
Researcher
Researchers conduct research in a variety of fields. Generative AI can be used to create new knowledge or improve existing knowledge. This course can help you learn how to use generative AI to conduct research in your field.
For more career information including salaries, visit:
OpenCourser.com/course/urz3f4/introduction
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Generative AI - 한국어.
이 책은 생성형 AI를 구현하는 데 사용되는 기본적인 딥러닝 기술을 다룹니다. 파이썬 라이브러리인 Keras를 사용하여 딥러닝 모델을 개발하는 방법을 설명합니다.
이 책은 생성형 AI 모델을 구현하는 데 사용되는 머신러닝 기본 사항을 다룹니다. Scikit-Learn, Keras, TensorFlow 라이브러리를 사용하여 머신러닝 모델을 개발하는 방법을 설명합니다.
이 책은 생성형 AI 모델을 이해하는 데 필수적인 수학적 기초를 제공합니다. 선형 대수, 확률, 최적화와 같은 주제를 다룹니다.
이 책은 생성형 AI 모델을 개발하는 데 필수적인 통계적 기초를 제공합니다. 확률, 추론, 회귀와 같은 주제를 다룹니다.
Save
이 책은 생성형 AI 모델을 개발하는 데 사용되는 심층 학습 기술을 다룹니다. 컨볼루션 신경망, 순환 신경망, 생성적 적대적 네트워크와 같은 주제를 다룹니다.
이 책은 생성형 AI 모델을 개발하는 데 사용되는 강화 학습 기술을 다룹니다. 가치 함수, 정책 그라디언트, 큐러닝과 같은 주제를 다룹니다.
이 책은 생성형 AI 모델을 개발하는 데 사용되는 베이지안 모델링 기술을 다룹니다. 베이즈 정리, 마르코프 체인 몬테카를로, 변분 베이지안 추론과 같은 주제를 다룹니다.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/urz3f4/introduction
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Effort
1 week of study, 6-8 hours
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
한국어
Transcript
English
Good to know
Examines Generative AI, which is a cutting-edge technology in high demand in industry
Provides hands-on experience with Google's tools, making it practical and useful for real-world application
Taught by Google Cloud Training, ensuring high-quality instruction and industry expertise
Introductory-level, making it suitable for beginners
Focuses on Generative AI, which is a specialized area within machine learning
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