Validates expertise in designing and building data processing systems and machine learning models on Google Cloud, including BigQuery, Dataflow, and AI services.
Validates expertise in designing and building data processing systems and machine learning models on Google Cloud, including BigQuery, Dataflow, and AI services.
Key topics covered: BigQuery & data warehousing, Dataflow & Pub/Sub pipelines, Cloud ML & AI services, Data lifecycle management, Reliability & security.
Best suited for: Data engineers and ML engineers with solid GCP experience building production pipelines.
Common career paths: Data Engineer, ML Engineer, Cloud Data Architect, Analytics Engineer.
Full step-by-step roadmap coming soon. See the roadmap page for updates.