Pragmatic AI Labs

Rust DataOps: CI/CD and Containers for Data Pipelines

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Pragmatic AI Labs

Rust DataOps: CI/CD and Containers for Data Pipelines

Noah Gift
Alfredo Deza

Instructors: Noah Gift

Included with Coursera Plus

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

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
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.

Details to know

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Recently updated!

May 2026

Assessments

1 assignment

Taught in English

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There are 3 modules in this course

Covers Alfredo Deza, what you build, and parallel AI track.

What's included

1 reading

Covers DevOps as culture, automation as default, shared metrics, CALMS framework, and lean flow.

What's included

22 videos6 readings

Covers CI = continuous integration, CD = continuous delivery, value to learners, SageMaker Canvas, and where it fits.

What's included

17 videos8 readings1 assignment

Instructors

Noah Gift
Pragmatic AI Labs
47 Courses3,308 learners

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