Google Cloud Professional Data Engineer: Get Certified 2022

Build scalable, reliable data pipelines, databases, and machine learning applications.

4.58 (4375 reviews)

Udemy

platform

English

language

IT Certification

What you will learn

How to pass the Google Cloud Professional Data Engineer Exam

Build scalable, reliable data pipelines

Choose appropriate storage systems, including relational, NoSQL and analytical databases

Apply multiple types of machine learning techniques to different use cases

Deploy machine learning models in production

Monitor data pipelines and machine learning models

Design scalable, resilient distributed data intensive applications

Migrate data warehouse from on-premises to Google Cloud

Evaluate and improve the quality of machine learning models

Grasp fundamental concepts in machine learning, such as backpropagation, feature engineering, overfitting and underfitting.

History

Students

Price

Rating & Reviews

Comidoc Review

Our Verdict

Google Cloud Professional Data Engineer: Get Certified 2022 is a strong contender for those pursuing expertise in data engineering on Google Cloud. However, be prepared for an audio-heavy experience with minimal visuals and graphics to support understanding of certain key concepts—consider supplementing your learning journey with external materials if needed. Despite requiring additional effort to fully grasp some ideas without accompanying images, this course offers valuable insights and serves as a solid introduction to the GCP ecosystem.

What We Liked

Comprehensive coverage of Google Cloud Professional Data Engineer concepts, preparing learners effectively for the certification exam
Detailed explanations on BigTable, DataProc, and machine learning topics, which are particular strengths of the course
Well-explained fundamentals in machine learning such as backpropagation, feature engineering, overfitting, and underfitting

Potential Drawbacks

Absence of hands-on labs might pose a challenge for people with no GCP experience; some users recommend having more pipeline migration content
Presentation could be improved, as some users find it similar to reading slides without much additional detail or examples
Lack of visuals and images in the course presentation makes grasping certain concepts difficult