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⇱ Rust CLI From Zero | Coursera


Rust CLI From Zero

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Rust CLI From Zero

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

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`

Details to know

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Recently updated!

May 2026

Assessments

3 assignments

Taught in English

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 β€” rustup, cargo, rust-analyzer β€” 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.

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.

What's included

12 videos7 readings1 assignment

12 videosβ€’Total 88 minutes
  • Course Introductionβ€’2 minutes
  • Module 1 Introductionβ€’2 minutes
  • Setting Up Your Rust Development Environmentβ€’11 minutes
  • Your First CLI in Rustβ€’13 minutes
  • Working with User Input, Arguments, and Optionsβ€’10 minutes
  • Expanding with Modules and Librariesβ€’8 minutes
  • Managing Errors and Panicsβ€’12 minutes
  • Rust CLI Best Practicesβ€’10 minutes
  • Creating and Using Modules in Rustβ€’5 minutes
  • Advanced Modules in Rustβ€’4 minutes
  • Libraries and Dependencies in Rustβ€’6 minutes
  • Using the Crates Websiteβ€’5 minutes
7 readingsβ€’Total 65 minutes
  • About This Courseβ€’5 minutes
  • Key Terms: Course Introductionβ€’10 minutes
  • Reflection: Course Introductionβ€’10 minutes
  • Key Terms: Your First CLI in Rustβ€’10 minutes
  • Reflection: Your First CLI in Rustβ€’10 minutes
  • Key Terms: Modules and Dependenciesβ€’10 minutes
  • Reflection: Modules and Dependenciesβ€’10 minutes
1 assignmentβ€’Total 5 minutes
  • CLI Foundationsβ€’5 minutes

Building Production CLIs in Rust

What's included

9 videos7 readings1 assignment

9 videosβ€’Total 57 minutes
  • Creating CLI Subcommands in Rustβ€’12 minutes
  • Sub-command Design Patterns for Data Workflowsβ€’3 minutes
  • Parsing Complex CLI Arguments in Rustβ€’10 minutes
  • Validating CLI Input for Data Engineeringβ€’4 minutes
  • Data-Specific CLI Flags and Optionsβ€’4 minutes
  • Adding Environment Variables to a Rust CLIβ€’5 minutes
  • Create a Package for a Rust CLIβ€’8 minutes
  • Implementing Basic Logging in Rustβ€’7 minutes
  • Different Types of Logs in Rustβ€’7 minutes
7 readingsβ€’Total 75 minutes
  • Key Terms: Subcommands and Advanced Argumentsβ€’10 minutes
  • Reflection: Subcommands and Advanced Argumentsβ€’10 minutes
  • Key Terms: Packaging and Distributionβ€’10 minutes
  • Reflection: Packaging and Distributionβ€’10 minutes
  • Key Terms: Logging and Error Handlingβ€’10 minutes
  • Reflection: Logging and Error Handlingβ€’10 minutes
  • Role Play: Building Production-Ready CLIsβ€’15 minutes
1 assignmentβ€’Total 5 minutes
  • Production CLIsβ€’5 minutes

Critical Thinking, Capstone Exercise and Final Steps

What's included

1 video5 readings1 assignment

1 videoβ€’Total 2 minutes
  • Course Conclusionβ€’2 minutes
5 readingsβ€’Total 50 minutes
  • Key Terms: Course Conclusion and Next Stepsβ€’10 minutes
  • Capstoneβ€’10 minutes
  • Reflection: Course Conclusion and Next Stepsβ€’10 minutes
  • Before You Goβ€’10 minutes
  • Next Stepsβ€’10 minutes
1 assignmentβ€’Total 15 minutes
  • Final Graded Quizβ€’15 minutes

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Pragmatic AI Labs
61 Coursesβ€’6,684 learners

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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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