About this Course

94,866 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level

The Data Engineering on Google Cloud Platform specialization or equivalent learning and 6 months experience with cloud computing and data engineering

Approx. 9 hours to complete
English

What you will learn

  • Review each section of the exam using highest-level concepts to identify what is already known and surface gap areas for study.

  • Practice case study analysis and solution proposal methods and thinking skills.

  • Learn information, tips, and general advice about how to prepare for the exam.

  • Integrate prior technical skills into practical skills for the job role. Help you become a Data Engineer.

Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level

The Data Engineering on Google Cloud Platform specialization or equivalent learning and 6 months experience with cloud computing and data engineering

Approx. 9 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up89%(3,497 ratings)Info
Week
1

Week 1

1 hour to complete

Understanding the Professional Data Engineer Certification

1 hour to complete
3 videos (Total 18 min), 4 readings, 1 quiz
3 videos
Understanding the Professional Data Engineer certification7m
Getting Started with Google Cloud and Qwiklabs4m
4 readings
Information about the latest Exam Guide10m
How to Send Feedback10m
Exam Tips #110m
Exam Tips #210m
1 practice exercise
Module 1 Assessment6m
Week
2

Week 2

1 hour to complete

Designing Data Processing Systems

1 hour to complete
8 videos (Total 38 min), 2 readings
8 videos
Designing flexible data representations10m
Design data pipelines6m
Dataflow pipelines2m
BigQuery and Cloud Dataflow Solutions3m
Design data processing infrastructure1m
Cloud Pub-Sub Solutions1m
Practice Exam Questions 12m
2 readings
Exam Tips #310m
Designing Data Processing Systems: Exam Guide Review10m
Week
3

Week 3

2 hours to complete

Building and Operationalizing Data Processing Systems

2 hours to complete
7 videos (Total 16 min), 3 readings, 2 quizzes
7 videos
Cloud Storage, Cloud SQL, Cloud Bigtable3m
Building and maintaining pipelines2m
Building and operationalizing processing infrastructure1m
Practice Exam Questions 23m
Case Study 13m
Challenge Lab 120s
3 readings
Building and Operationalizing Data Processing Systems10m
Case Study 0110m
Exam Tips #410m
1 practice exercise
Designing and Building Data Processing Systems Quiz6m
Week
4

Week 4

2 hours to complete

Operationalizing Machine Learning Models

2 hours to complete
16 videos (Total 43 min), 4 readings, 2 quizzes
16 videos
Analyzing data2m
Machine Learning3m
Machine learning and unstructured data4m
Training and Validating2m
Practice Exam Questions 32m
Case Study 23m
Modeling business processes for analysis and optimization3m
Feature Engineering and performance2m
Schema and performance2m
Pipeline and performance2m
Dividing work1m
Bigtable performance4m
Price estimation43s
Case Study 33m
Challenge Lab 224s
4 readings
Operationalizing Machine Learning Models10m
Case Study 210m
Case Study 310m
Exam Tips #510m
1 practice exercise
Operationalizing Machine Learning Models Quiz4m

Reviews

TOP REVIEWS FROM PREPARING FOR THE GOOGLE CLOUD PROFESSIONAL DATA ENGINEER EXAM

View all reviews

About the Data Engineering with Google Cloud Professional Certificate

Data Engineering with Google Cloud

Frequently Asked Questions

More questions? Visit the Learner Help Center.