Master system-level programming with Rust. Learn to build efficient, safe applications for data engineering, DevOps, and ML operations.
Master system-level programming with Rust. Learn to build efficient, safe applications for data engineering, DevOps, and ML operations.
This comprehensive specialization from Duke University teaches Rust programming for modern systems development. Through five courses, students progress from language fundamentals to advanced applications in data engineering, DevOps, and machine learning operations. The program emphasizes Rust's unique features like ownership, borrowing, and lifetimes while providing hands-on experience through 20+ coding projects. Students learn to build robust applications, optimize performance, and integrate with cloud services, preparing them for roles in platform engineering, MLOps, and systems development.
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What you'll learn
Master Rust's core concepts of ownership and borrowing
Develop efficient data processing systems
Build and deploy containerized applications
Create Linux automation tools and scripts
Implement LLM operations workflows
Optimize machine learning pipelines
Skills you'll gain
This course includes:
158 Hours PreRecorded video
Over 20 hands-on coding projects
Access on Mobile, Desktop
FullTime access
Shareable certificate
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There are 5 courses in this program
AWS: Compute and Data Transfer
Course 1 · 4 Hours to complete · 2 modules
AWS: Data Protection and Security Governance
Course 2 · 5 Hours to complete · 3 modules
From Calligraphic Stroke to Paleographic Method
Course 3 · 6 Weeks to complete · 6 modules
Security and Automation
Course 4 · 5 Hours to complete · 2 modules
Calligraphy & Paleography: Spaces for Study & Practice
Course 5 · 6 Weeks to complete · 6 modules
Fee Structure
Payment options
Financial Aid
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