The browser-hosted developer environment that ships pre-wired with gcloud, plus the local CLI install for engineers who want the same tools on their own machine.

Buckets, storage classes, and lifecycle rules — and the Rust client patterns (streaming uploads, resumable sessions, ADC) that consume them efficiently from a tokio runtime.

The two BigQuery APIs Rust services use — REST jobs.query for small JSON results and the Storage Read API for million-row Arrow scans — and the prompt-engineering pattern for ML.GENERATE_TEXT.

Volume, velocity, and cost trade-offs for big data on GCP, the three-zone (raw / transform / serving) pipeline pattern, and how GCE, GKE, Cloud Run, App Engine, and Cloud Functions each fit the trigger model.

Distroless containers, Cloud Run deploys from source or image, App Engine Flex with custom runtimes, and the Pub/Sub push pattern for idempotent ETL handlers with concurrency-bounded backpressure.

cargo-audit and cargo-deny against the RustSec advisory database, the secure-by-design properties Rust enforces at compile time, GitHub Actions matrix builds, and the energy-efficiency case for Rust over Python at scale.

Where to go after this course — the next courses in the specialization and a production playbook for the Rust-on-GCP pattern.