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 you'll learn
understand Rust's foundational syntax
implement advanced concepts in Rust programming
develop practical applications like database migration tools and automation scripts
integrate Rust with machine learning tasks
Course objectives
provide applied skills for systems programming using Rust
enable students to complete coding projects relevant to industry challenges
prepare students for roles in software engineering and data-related positions