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Rust DataOps: CI/CD and Containers for Data Pipelines

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.

Intermediate 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.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Build production-grade CI/CD pipelines for Rust applications using GitHub Actions, Makefiles, and Docker.
Manage advanced workflow patterns including matrix builds, interdependent jobs, and conditional logic.
Package, lint, and release containerized Rust data applications through an end-to-end deployment pipeline.

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

e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Master modern DataOps practices by building robust, automated CI/CD pipelines for data applications using Rust. This course teaches you how to design, implement, and maintain end-to-end deployment pipelines that combine the safety and performance of Rust with industry-standard DevOps tooling.

You will start with the fundamentals of Continuous Integration and Continuous Deployment, then progress to advanced topics including matrix builds, interdependent jobs, Dockerfile linting, and container packaging. Hands-on labs use GitHub Actions, Makefiles, and Docker to give you practical experience automating the full software delivery lifecycle for data-driven Rust applications. By the end of the course, you will be able to: write production-grade GitHub Actions workflows; lint, test, and release containerized Rust applications; manage complex job dependencies and matrix configurations; and ship a complete end-to-end deployment pipeline. Whether you are a data engineer modernizing your pipelines or a Rust developer adopting DataOps, this course gives you the patterns and tools to deliver reliable, automated, container-based data systems.