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Rust CLI From Zero

This course is part of Rust for Data Engineering Specialization

Instructors: Noah Gift

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Build a production Rust CLI with clap, including subcommands designed for data pipelines, input validation
Handle errors with `anyhow` and `Result`/`?
Package and ship a Rust CLI by writing crates.io-ready `Cargo.toml`

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Rust for Data Engineering Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

Build production-quality command-line tools in Rust for data engineering. You move from a first hello-world CLI through real argument parsing with `clap`, ergonomic error handling with `anyhow`, and structured logging with `env_logger`. From there you learn subcommand design patterns suited to data pipelines (`ingest`, `transform`, `filter`, `export`), input validation that fails fast with a helpful message, and the data-specific flags (`--format`, `--output`, `--delimiter`, `--column`, `--limit`) every CSV and JSON tool needs. The course closes with packaging: Cargo metadata, publishing to crates.io, and a multi-stage Docker container. Along the way you learn the Rust toolchain — rustup, cargo, rust-analyzer — modules and the crates.io ecosystem, the difference between `Result` and `panic!`, and the discipline of `stderr` versus `stdout`. The capstone is `datactl`, a Rust CLI you build from scratch that reads, summarizes, filters, and exports CSV and JSON files. By the end you will have shipped a small, fast, statically-linked binary you can run anywhere.

Module details

From a first hello-world CLI to a well-structured Rust crate. You set up the toolchain, parse arguments, organize code across modules, and replace panics with Result-based error handling.