Program Overview & Executive Scope
The GCP Professional Data Engineer program prepares data practitioners to build scalable analytics platforms. Candidates explore real-time streaming architectures using Cloud Pub/Sub and Dataflow (Apache Beam), petabyte-scale data warehousing in BigQuery, and pipeline orchestration with Cloud Composer (Apache Airflow).
Key Competencies & What You Will Master
Curriculum & Module Breakdown
Storage & Database Design
Cloud Bigtable, Cloud Spanner, Cloud Storage, and BigQuery storage optimization.
Data Processing & Streaming Pipelines
Batch and stream processing with Cloud Dataflow (Apache Beam) and Cloud Dataproc.
Data Orchestration, Governance & Security
Cloud Composer, Dataplex, DLP API, and IAM security boundaries.
Machine Learning & BigQuery ML
Building and evaluating ML models directly within BigQuery and Vertex AI pipelines.
Prerequisites
- •3+ years of industry experience including 1+ years designing data processing systems on GCP
Target Audience
- •Data Engineers
- •Big Data Architects
- •BI Developers
Frequently Asked Questions
Yes, candidates execute hands-on queries over public petabyte-scale datasets and tune cost and slot utilization in dedicated GCP projects.
Official Google Cloud exam voucher included.
Related Certifications in Applied AI, Data & Analytics
AWS Certified Machine Learning – Specialty
Exam Code: MLS-C01 • 100% Sandbox Labs
Microsoft Azure Data Scientist Associate (DP-100)
Exam Code: DP-100 • 100% Sandbox Labs
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