About this Course

100,802 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. 7 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. 7 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up89%(3,491 ratings)Info
Week
1

Week 1

1 hour to complete

Welcome to Preparing for the Professional Data Engineer Exam

1 hour to complete
4 videos (Total 23 min), 4 readings, 1 quiz
4 videos
Copy of Introduction5m
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 Assessment
Week
2

Week 2

1 hour to complete

Designing Data Processing Systems

1 hour to complete
9 videos (Total 40 min), 3 readings
9 videos
Designing flexible data representations10m
Design data pipelines6m
Cloud Dataflow pipelines2m
BigQuery and Cloud Dataflow Solutions3m
Design data processing infrastructure1m
Cloud Pub/Sub Solutions1m
Practice Exam Questions 12m
Data representations, pipelines, and processing infrastructure55s
3 readings
Exam Tips #310m
Copy of Exam Tips #310m
Designing Data Processing Systems10m
Week
3

Week 3

2 hours to complete

Building and Operationalizing Data Processing Systems

2 hours to complete
8 videos (Total 17 min), 3 readings, 2 quizzes
8 videos
Cloud Storage, Cloud SQL, Cloud Bigtable3m
Building and operationalizing pipelines2m
Building and operationalizing processing infrastructure1m
Practice Exam Questions 23m
Building and operationalizing pipelines and processing infrastructure1m
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 Quiz
Week
4

Week 4

2 hours to complete

Operationalizing Machine Learning Models

2 hours to complete
18 videos (Total 44 min), 4 readings, 2 quizzes
18 videos
Deploying an ML pipeline2m
Machine Learning3m
ML and Unstructured Data4m
Training and Validating2m
Practice Exam Questions 32m
Machine Learning and Analysis42s
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 estimation44s
Business requirements and optimization1m
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 Quiz

Reviews

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

View all reviews

Frequently Asked Questions

More questions? Visit the Learner Help Center.