Duke University
Rust Programming Specialization
9,290 enrolled
Duke University

Rust Programming Specialization

Master Rust for Powerful Systems Programming. 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.

Included with Coursera Plus

Get in-depth knowledge of a subject

(180 reviews)

Beginner level

Recommended experience

Flexible schedule
4 months at 10 hours a week
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(180 reviews)

Beginner level

Recommended experience

Flexible schedule
4 months at 10 hours a week
Earn a career credential
Share your expertise with employers

What you'll learn

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
36 practice exercises

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

Specialization - 5 course series

What you'll learn

  • Apply Rust's core concepts like ownership, borrowing, and lifetimes to write efficient, reliable, and safe code.

  • Use Rust's advanced features like enums, structs, traits, and generics to build robust applications.

  • Develop, document, test and debug Rust projects using Cargo, Rust Analyzer, and other tools in the Rust ecosystem.

Skills you'll gain

Category: Rust (Programming Language)
Category: Data Structures
Category: Development Environment
Category: System Programming
Category: Command-Line Interface
Category: Unit Testing
Category: Object Oriented Programming (OOP)
Category: GitHub
Category: Debugging
Category: Software Testing
Category: Microsoft Copilot
Category: Software Documentation

What you'll learn

Skills you'll gain

Category: Rust (Programming Language)
Category: Data Structures
Category: System Programming
Category: Data Pipelines
Category: Data Manipulation
Category: Software Testing
Category: Microsoft Copilot
Category: Python Programming
Category: Data Processing
Category: Cloud Applications
Category: Development Environment
Category: Application Security
Category: Software Development Tools
Category: Cloud Computing
Category: Encryption
Category: CI/CD
Category: Algorithms
Category: Software Development

What you'll learn

  • Apply DevOps principles and workflows to build, deploy, and operate applications using technologies like Rust, containers, logging, and monitoring.

  • Instrument applications with logging and monitoring using frameworks like ELK stack and Prometheus to gain observability into systems.

  • Automate system administration tasks like file parsing, command execution, and cron jobs using Rust to improve efficiency.

Skills you'll gain

Category: Rust (Programming Language)
Category: Automation
Category: Containerization
Category: Continuous Integration
Category: Continuous Delivery
Category: Prometheus (Software)
Category: Command-Line Interface
Category: GitHub
Category: System Monitoring
Category: CI/CD
Category: Jenkins
Category: DevOps
Category: System Programming
Category: Scripting
Category: Docker (Software)
Category: Software Testing
Category: Event Monitoring

What you'll learn

  • Build powerful command line tools in Rust and Python

  • Use Python with Rust for building powerful tools

Skills you'll gain

Category: Rust (Programming Language)
Category: Command-Line Interface
Category: Serverless Computing
Category: Debugging
Category: Application Deployment
Category: System Programming
Category: Software Testing
Category: Python Programming
Category: Scripting
Category: Amazon Web Services
Category: Maintainability
Category: Linux Commands

What you'll learn

  • Mastery in deploying Rust for intricate LLMOps workflows.

Skills you'll gain

Category: Rust (Programming Language)
Category: Natural Language Processing
Category: DevOps
Category: PyTorch (Machine Learning Library)
Category: Generative AI
Category: MLOps (Machine Learning Operations)
Category: Artificial Intelligence
Category: Application Deployment
Category: Data Ethics
Category: Machine Learning
Category: Deep Learning
Category: CI/CD
Category: Large Language Modeling
Category: Amazon Web Services
Category: GitHub

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Noah Gift
Duke University
40 Courses186,301 learners
Alfredo Deza
Duke University
29 Courses143,539 learners

Offered by

Duke University

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