Google Cloud Professional Data Engineer: Get Certified 2022

Data engineering is a rapidly growing field, and certified data engineers are highly sought after and command top salaries. This career path requires a diverse skillset, encompassing the design of robust systems for data ingestion, cost-effective data storage, and efficient data processing and analysis. Proficiency with tools spanning reporting and visualization to machine learning is essential.

The Google Cloud Professional Data Engineer certification is a key credential demonstrating the expertise needed to build, tune, and monitor high-performance data engineering systems on Google Cloud.

This comprehensive course is crafted by the author of the official Google Cloud Professional Data Engineer exam guide and a seasoned data architect with over 20 years of experience in databases, data architecture, and machine learning. We blend engaging lectures with practical quizzes and hands-on sessions to ensure a deep understanding of core concepts.

You'll learn to:

• Ingest data from various sources.
• Create data processing pipelines using Cloud Dataflow.
• Deploy relational databases on Google Cloud.
• Design highly performant databases leveraging Bigtable, BigQuery, and Cloud Spanner.
• Query Firestore databases.
• Set up a Spark and Hadoop cluster with Cloud Dataproc.

A significant portion of the course focuses on the challenging machine learning portion of the exam. We start with the fundamentals, covering concepts like backpropagation, stochastic gradient descent, overfitting, underfitting, and feature engineering. Whether you're new to machine learning or need a refresher, this course provides a solid foundation for designing, training, and evaluating machine learning models. We'll also explore Google Cloud's powerful machine learning services and infrastructure, including BigQuery ML and Tensor Processing Units (TPUs).

To prepare for the exam, you'll benefit from a 50-question practice exam designed to assess your knowledge and pinpoint areas for further study.

Upon completion, you'll be equipped to utilize Google Cloud Data Engineering services for:

• Designing, deploying, and monitoring data pipelines.
• Deploying advanced database systems.
• Building comprehensive data analysis platforms.
• Supporting production machine learning environments.

Ready to pass the Google Cloud Professional Data Engineer exam? Join us and discover how!