This comprehensive Rust Specialization from Coursera and Duke University, a top Data Science and AI program, 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.
What's inside
Five courses
Rust Fundamentals
(0 hours)
Rust Fundamentals
(0 hours)
Data Engineering with Rust
(0 hours)
Data Engineering with Rust
(0 hours)
Rust for DevOps
(0 hours)
Rust for DevOps
(0 hours)
Python and Rust with Linux Command Line Tools
(0 hours)
Python and Rust with Linux Command Line Tools
(0 hours)
Rust for Large Language Model Operations (LLMOps)
(0 hours)
Rust for Large Language Model Operations (LLMOps)
(0 hours)Save this collection
Save
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
