Google Cloud Certified - Professional Data Engineer

When you become a Professional Data Engineer, you'll have the ability to make data driven decision making by collecting, transforming, and visualising data. As a Data Engineer, you will design, build, maintain and troubleshoot data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such systems.

Platform Fundamentals

Storage and Analytics

Deeper through GCP Analytics and Scaling

GCP Network Data Processing Models

Dataproc

Dataproc Architecture

Dataproc Operations

Implementations with BigQuery for Big Data

Fundamentals of Big Query

APIs and Machine Learning

Dataflow Autoscaling Pipelines

Machine Learning with TensorFlow and Cloud ML

Streaming Pipelines and Analytics

GCP Engineering and Streaming Architecture