About this Course
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
- Master Rust programming from basics to machine learning integration
- Complete 20+ coding projects tackling real-world challenges
- Prepare for roles such as Platform Engineer, MLOps Engineer, Data Engineer, and Backend Developer
Prerequisites
- Basic computer and internet skills
- Ability to read course instructions in English and complete practice activities
Instructors
Noah Gift
Executive in Residence and Founder of Pragmatic AI Labs
Alfredo Deza
Adjunct Assistant Professor in the Pratt School of Engineering