이 전문 자격증 정보

This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.

You'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.

Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.

If you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.

학습자 경력 결과
45%
이 특화 과정을(를) 수료한 후 새로운 경력을 시작함
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
중급 단계
완료하는 데 약 4개월 필요
매주 4시간 권장
영어
자막: 영어, 스페인어
학습자 경력 결과
45%
이 특화 과정을(를) 수료한 후 새로운 경력을 시작함
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
중급 단계
완료하는 데 약 4개월 필요
매주 4시간 권장
영어
자막: 영어, 스페인어

이 전문 자격증에는 6개의 강좌가 있습니다.

강좌1

강좌 1

Google Cloud Platform Big Data and Machine Learning Fundamentals

4.6
별점
10,926개의 평가
1,964개의 리뷰
강좌2

강좌 2

Modernizing Data Lakes and Data Warehouses with GCP

4.7
별점
1,271개의 평가
165개의 리뷰
강좌3

강좌 3

Building Batch Data Pipelines on GCP

4.5
별점
758개의 평가
99개의 리뷰
강좌4

강좌 4

Building Resilient Streaming Analytics Systems on GCP

4.6
별점
604개의 평가
73개의 리뷰

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자주 묻는 질문

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Professional Certificate is designed to be completed in one and a half months at 5 hours per week.

  • To get the most out of this program, learners should have basic proficiency with a common query language such as SQL; experience developing applications using a common programming language such as Python; experience with data modeling, extract, transform, load activities ; and familiarity with machine learning and/or statistics.

  • We strongly recommend you take these courses in order, beginning with Big Data and Machine Learning Fundamentals. This is especially important when completing the Qwiklabs projects, as these hands-on labs build upon the work you complete in preceding courses.

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