Google Professional Data Engineer Certification Training

Course Overview

The Google Professional Data Engineer certification validates your ability to design, build, and manage scalable data processing systems on Google Cloud that power modern analytics and AI workloads. This 5-day instructor-led course covers the full data engineering lifecycle on GCP — from data ingestion and transformation to governance, security, and AI-ready data architecture. You will work hands-on with BigQuery, Dataflow (Apache Beam), Pub/Sub, Dataproc, Dataplex, Cloud Composer, and the complete GCP data stack. The certification has consistently ranked among the highest-paying cloud certifications globally and is a core credential for data engineers building the infrastructure that powers enterprise AI.

What You Will Learn

• Design scalable, production-grade data processing pipelines for batch and streaming workloads
• Build and optimise BigQuery solutions including partitioning, clustering, BI Engine, and ML integration
• Implement streaming architectures using Pub/Sub and Dataflow with Apache Beam
• Manage data governance, security, and compliance using Dataplex, DLP, and policy tags
• Orchestrate complex data workflows using Cloud Composer (Apache Airflow) and Cloud Workflows
• Design AI-ready data architectures: feature stores, vector databases, and data products
• Implement data migration strategies from on-premises and other clouds to Google Cloud
• Prepare for the Professional Data Engineer exam (v4.2 exam guide)