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Rust Programming Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
4 months
Duration
4 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Learn to build robust and efficient software with Rust's unique safety and speed through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations. This Rust Programming Specialization is offered by Coursera in partnership with Duke University. 

Overview

This Rust Programming Specialization is offered by Coursera in partnership with Duke University and provides software engineers, data scientists, and technical professionals with applied skills to leverage Rust’s speed, safety, and versatility for robust systems programming. 

Over five courses spanning foundational syntax to advanced machine learning integrations, master Rust programming through hands-on lessons and 20+ coding projects, then tackle real-world challenges like building a database migration tool, optimizing an ML pipeline, or creating a Linux automation script. 

Upon completion, you'll have portfolio-ready Rust abilities to apply for roles like Platform Engineer, MLOps Engineer, Data Engineer, Embedded Engineer, or Backend Developer.

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Duke University

Skills you'll gain

  • Computer Programming
  • Rust (Programming Language)
  • Cargo
  • Information Engineering
  • Cloud Computing
  • Command-Line Interface
  • Polars
  • Devops
  • AWS Lambda
  • Natural Language Processing
  • AI pair programming

Programme Structure

Courses included:

  • Rust Fundamentals
  • Data Engineering with Rust
  • Rust for DevOps
  • Python and Rust with Linux Command Line Tools
  • Rust for Larger Language Model Operations (LLMOps)

Key information

Duration

  • Part-time
    • 4 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • Recommended experience: Beginner programming experience in any language.  Familiarity with Linux, command line interfaces, or cloud services helpful. 

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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