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Google Cloud Training
이 과정에서는 Google Cloud에서 프로덕션 ML 시스템을 배포, 평가, 모니터링, 운영하기 위한 MLOps 도구와 권장사항을 소개합니다. MLOps는 프로덕션에서 ML 시스템을 배포, 테스트, 모니터링, 자동화하는 방법론입니다.
학습자는 SDK 레이어에서 Vertex AI Feature Store의 스트리밍 수집을 사용하여 실습을 진행하게 됩니다.
Register for this course and see more details by visiting:
OpenCourser.com/course/63ok40/mlops
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What's inside
Syllabus
Machine Learning Operations(MLOps) with Vertex AI: Manage Features 과정에 오신 것을 환영합니다
과정 소개.
Vertex AI Feature Store 소개
Vertex AI 및 Vertex AI의 MLOps 기능 데이터와 관련된 주요 과제와 이를 완화하는 데 사용할 수 있는 솔루션.
Read more
Syllabus
Machine Learning Operations(MLOps) with Vertex AI: Manage Features 과정에 오신 것을 환영합니다
과정 소개.
Vertex AI Feature Store 소개
Vertex AI 및 Vertex AI의 MLOps 기능 데이터와 관련된 주요 과제와 이를 완화하는 데 사용할 수 있는 솔루션.
Read more
Machine Learning Operations(MLOps) with Vertex AI: Manage Features 심층 탐구
Vertex AI Feature Store의 주요 기능.
요약
과정 요약.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
학습자는 MLOps 및 Vertex AI 기능 스트리밍 수집, 프로덕션 시스템 배포, 평가 및 모니터링에 대해 배우며, 실제 사례를 다룹니다
이 과정은 Vertex AI를 교육하는 Google Cloud 팀이 지도합니다
다양한 멀티미디어 자료 및 핸즈온 랩이 있습니다
기본적인 ML 지식이 있지만 ML Ops 및 Vertex AI에 대한 경험이 없는 학습자에게 좋습니다
MLOps 필드에서 경력을 쌓고자 하는 사람에게 유용한 실무 지식을 제공합니다
Save this course
Save MLOps with Vertex AI: Manage Features - 한국어 to your list so you can find it easily later:
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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 MLOps with Vertex AI: Manage Features - 한국어 with these
activities:
教材の整理と復習
Show steps
コースの教材を整理し、重要な概念にフラグを立てて、復習できるようにします。
Show steps
追加のオンライン チュートリアルを完了する
Show steps
コースの内容を補完し、理解を深めるためのオンライン チュートリアルを見つけて完了します。
Browse courses on
Vertex AI Feature Store
Show steps
-
Vertex AI Feature Store に関する追加資料を見つける
-
MLOps の実践に関するチュートリアルを見つける
-
見つけたリソースを完了する
ハンズオン演習を完了する
Show steps
コースで学んだ概念を強化するために、ハンズオン演習を完了します。
Browse courses on
Vertex AI Feature Store
Show steps
-
Vertex AI Feature Store を使用してストリーミング収集を設定する
Four other activities
Expand to see all activities and additional details
Show all seven activities
Vertex AI Feature Store の使用に関するブログ記事を書く
Show steps
コースで学んだ内容を他の人と共有し、理解を深めるために、Vertex AI Feature Store の使用に関するブログ記事を書きます。
Browse courses on
Vertex AI Feature Store
Show steps
-
ブログ記事のテーマを選択する
-
ブログ記事の構造を計画する
-
ブログ記事を執筆する
-
ブログ記事を編集し、校正する
-
ブログ記事を公開する
コースの概念を他の学生に説明する
Show steps
コースで学んだ概念を他の学生に説明することで、理解を深め、教えるスキルを向上させます。
Browse courses on
Vertex AI Feature Store
Show steps
-
説明する概念を選択する
-
説明を計画する
-
説明を行う
-
フィードバックを受け取る
Vertex AI Feature Store に関するワークショップに参加する
Show steps
Vertex AI Feature Store に関する実践的な知識とスキルを深めるために、ワークショップに参加します。
Browse courses on
Vertex AI Feature Store
Show steps
-
ワークショップを探す
-
ワークショップに申し込む
-
ワークショップに参加する
Vertex AI Feature Store の経験を持つメンターを探す
Show steps
Vertex AI Feature Store に関する理解を深めるために、経験豊富なメンターを見つけて相談します。
Browse courses on
Vertex AI Feature Store
Show steps
-
メンターを探して連絡を取る
教材の整理と復習
Show steps
コースの教材を整理し、重要な概念にフラグを立てて、復習できるようにします。
Show steps
Show steps
Show steps
追加のオンライン チュートリアルを完了する
Show steps
コースの内容を補完し、理解を深めるためのオンライン チュートリアルを見つけて完了します。
Browse courses on
Vertex AI Feature Store
Show steps
Show steps
Show steps
- Vertex AI Feature Store に関する追加資料を見つける
- MLOps の実践に関するチュートリアルを見つける
- 見つけたリソースを完了する
ハンズオン演習を完了する
Show steps
コースで学んだ概念を強化するために、ハンズオン演習を完了します。
Browse courses on
Vertex AI Feature Store
Show steps
Show steps
Show steps
- Vertex AI Feature Store を使用してストリーミング収集を設定する
Four other activities
Expand to see all activities and additional details
Show all seven activities
Vertex AI Feature Store の使用に関するブログ記事を書く
Show steps
コースで学んだ内容を他の人と共有し、理解を深めるために、Vertex AI Feature Store の使用に関するブログ記事を書きます。
Browse courses on
Vertex AI Feature Store
Show steps
Show steps
Show steps
- ブログ記事のテーマを選択する
- ブログ記事の構造を計画する
- ブログ記事を執筆する
- ブログ記事を編集し、校正する
- ブログ記事を公開する
コースの概念を他の学生に説明する
Show steps
コースで学んだ概念を他の学生に説明することで、理解を深め、教えるスキルを向上させます。
Browse courses on
Vertex AI Feature Store
Show steps
Show steps
Show steps
- 説明する概念を選択する
- 説明を計画する
- 説明を行う
- フィードバックを受け取る
Vertex AI Feature Store に関するワークショップに参加する
Show steps
Vertex AI Feature Store に関する実践的な知識とスキルを深めるために、ワークショップに参加します。
Browse courses on
Vertex AI Feature Store
Show steps
Show steps
Show steps
- ワークショップを探す
- ワークショップに申し込む
- ワークショップに参加する
Vertex AI Feature Store の経験を持つメンターを探す
Show steps
Vertex AI Feature Store に関する理解を深めるために、経験豊富なメンターを見つけて相談します。
Browse courses on
Vertex AI Feature Store
Show steps
Show steps
Show steps
- メンターを探して連絡を取る
Career center
Learners who complete MLOps with Vertex AI: Manage Features - 한국어 will develop knowledge and skills
that may be useful to these careers:
ML Engineer
ML Engineer
ML Engineers design, develop, and deploy ML models. They work with data scientists, engineers, and other team members to ensure that ML models are accurate, reliable, and scalable. This course may be useful for ML Engineers who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They work with data engineers, ML engineers, and other team members to collect, analyze, and interpret data. This course may be useful for Data Scientists who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines that collect, process, and store data. They work with data scientists, analysts, and other team members to ensure that data is available in a timely and reliable manner. This course may be useful for Data Engineers who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Technical Program Manager
Technical Program Manager
Technical Program Managers help plan, lead, and oversee the execution of technical projects. They work with engineers, stakeholders, and other team members to ensure that projects are completed on time, within budget, and to the required specifications. This course may be useful for Technical Program Managers who want to learn more about how to use MLOps tools and techniques to manage features in production ML systems.
Data Architect
Data Architect
Data Architects design and implement data architectures. They work with other team members to ensure that data architectures are scalable, reliable, and secure. This course may be useful for Data Architects who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
DevOps Engineer
DevOps Engineer
DevOps Engineers design, implement, and maintain software development and deployment processes. They work with other team members to ensure that software development and deployment processes are efficient and effective. This course may be useful for DevOps Engineers who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Cloud Architect
Cloud Architect
Cloud Architects design, implement, and maintain cloud computing systems. They work with other team members to ensure that cloud computing systems are reliable, scalable, and meet the needs of users. This course may be useful for Cloud Architects who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with other team members to ensure that software systems are reliable, scalable, and meet the needs of users. This course may be useful for Software Engineers who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Product Manager
Product Manager
Product Managers plan and manage the development of products. They work with other team members to ensure that products meet the needs of users. This course may be useful for Product Managers who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Solutions Architect
Solutions Architect
Solutions Architects design and implement solutions to meet the needs of customers. They work with other team members to ensure that solutions are effective and efficient. This course may be useful for Solutions Architects who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. They work with other team members to ensure that technical documentation is accurate, clear, and concise. This course may be useful for Technical Writers who want to learn more about how to write documentation for Vertex AI Feature Store.
DBA
DBA
DBAs design, implement, and maintain database systems. They work with other team members to ensure that database systems are reliable, scalable, and meet the needs of users. This course may be useful for DBAs who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Systems Engineer
Systems Engineer
Systems Engineers design, implement, and maintain computer systems. They work with other team members to ensure that computer systems are reliable, scalable, and meet the needs of users. This course may be useful for Systems Engineers who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions to meet those needs. They work with other team members to ensure that business solutions are effective and efficient. This course may be useful for Business Analysts who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
Network Engineer
Network Engineer
Network Engineers design, implement, and maintain computer networks. They work with other team members to ensure that computer networks are reliable, scalable, and meet the needs of users. This course may be useful for Network Engineers who want to learn more about how to use Vertex AI Feature Store to manage features in production ML systems.
For more career information including salaries, visit:
OpenCourser.com/course/63ok40/mlops
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
MLOps with Vertex AI: Manage Features - 한국어.
Save
이 책은 딥러닝을 포함한 기계 학습의 광범위한 주제에 대한 포괄적인 리소스입니다. Vertex AI Feature Store의 딥러닝 통합을 이해하는 데 도움이 될 수 있습니다.
Save
이 책은 프로덕션에 기계 학습 시스템을 배포하고 유지하는 방법에 대한 실용적인 안내서입니다. Vertex AI Feature Store가 제공하는 MLOps 기능을 이해하는 데 도움이 될 수 있습니다.
이 책에서는 데이터 과학자를 위한 피처 엔지니어링의 기본 원칙과 기법에 대해 설명합니다. Vertex AI Feature Store의 피처 엔지니어링 유스 케이스를 이해하는 데 도움이 될 수 있습니다.
이 책은 파이썬을 사용하여 기계 학습 프로그램을 작성하는 실습적 안내서입니다. Vertex AI Feature Store의 파이썬 API 사용을 이해하는 데 도움이 될 수 있습니다.
이 책은 기계 학습의 기본 개념과 알고리즘에 대한 명확하고 포괄적인 소개를 제공합니다. Vertex AI Feature Store가 제공하는 기계 학습 기능을 이해하는 데 유용합니다.
이 책은 알고리즘의 설계와 분석을 설명합니다. Vertex AI Feature Store에 기여하는 알고리즘의 역할을 이해하는 데 도움이 될 수 있습니다.
이 책은 소프트웨어 엔지니어링의 기본 원칙과 방법론을 설명합니다. Vertex AI Feature Store에 기여하는 소프트웨어 엔지니어링의 역할을 이해하는 데 도움이 될 수 있습니다.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/63ok40/mlops
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Good to know
학습자는 MLOps 및 Vertex AI 기능 스트리밍 수집, 프로덕션 시스템 배포, 평가 및 모니터링에 대해 배우며, 실제 사례를 다룹니다
이 과정은 Vertex AI를 교육하는 Google Cloud 팀이 지도합니다
다양한 멀티미디어 자료 및 핸즈온 랩이 있습니다
기본적인 ML 지식이 있지만 ML Ops 및 Vertex AI에 대한 경험이 없는 학습자에게 좋습니다
MLOps 필드에서 경력을 쌓고자 하는 사람에게 유용한 실무 지식을 제공합니다
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