Rust for Data Engineering Specialization | Coursera [Update 06/2026]
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Master Rust for Data Engineering.
Build production data systems in Rust. Learn ETL, SQL/NoSQL, serverless, GCP, and CI/CD.
What you'll learn
Build production-shaped Rust services for data engineering: CLIs, ETL with Polars, SQL/NoSQL clients, serverless on GCP, RAG, and TUIs.
Deploy real workloads with containers, CI/CD, and observability. Talk to SQLite, MySQL, Postgres, DuckDB from typed Rust.
Reason about correctness with snapshot tests, write Rust that handles errors well, and ship containerized services through clean CI/CD.
Specialization - 31 course series
Rust for Data Engineering is a hands-on specialization that teaches you how to build production-grade data systems in Rust - from terminal tools and ETL pipelines to serverless functions, SQL and NoSQL data stores, and full CI/CD shipping workflows on GCP and beyond. You will move from knowing some Rust to confidently shipping a data pipeline that handles real workloads, runs in a container, and survives production. Each course is short, project-driven, and codes-along: you write real Rust against real data, with snapshot tests, observability, and reproducible builds. By the end you will have a portfolio of small but production-shaped projects - bash-to-Rust rewrites, Polars data jobs, SQL-backed services, ETL workflows, serverless handlers, RAG pipelines, TUI tools, and GCP deployments - and the engineering muscles to extend any of them into a real system at work.
Applied Learning Project
Across the specialization you will build dozens of small, focused Rust projects that together form a working data engineering toolkit: command-line tools, an end-to-end ETL pipeline, SQLite/MySQL/Postgres/DuckDB-backed services, a Polars data job, a serverless function on GCP, a RAG retrieval pipeline, a TUI process monitor, and a containerized CI/CD shipping flow. Every project is small enough to finish in a sitting, but production-shaped: it has tests, a Dockerfile or build manifest, observability, and a clear runtime story. The capstone-style courses connect these pieces into deployable data systems you can fork into your own work.
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