Rust Programming Fundamentals
This course is part of Rust Programming - Pragmatic AI.
This comprehensive course introduces students to Rust programming from the ground up. The curriculum covers core language concepts including variables, data types, control flow, ownership rules, and advanced topics like structs, enums, traits, and concurrency. Through hands-on exercises, students learn to use essential tools like Rust Analyzer, Cargo, and GitHub Copilot while developing practical skills in test-driven development, debugging, and documentation. The course emphasizes writing safe, efficient code following Rust best practices.
Instructors:
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What you'll learn
Master Rust's core concepts including ownership, borrowing, and lifetimes
Develop applications using structs, enums, traits, and advanced features
Practice test-driven development and debugging techniques
Build and document libraries using Cargo and rustdoc
Implement safe concurrent programming patterns
Skills you'll gain
This course includes:
PreRecorded video
Quizzes, Labs, Projects
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
The course provides a thorough introduction to Rust programming language fundamentals. Students learn core concepts, tools, and best practices through practical exercises and real-world examples. The curriculum emphasizes hands-on coding experience with modern development tools and techniques.
Installing Rust and Setting Up Your Text Editor
Module 1
Rust Fundamentals
Module 2
Using Structs, Types, and Enums
Module 3
Applying Rust
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Rust Programming - Pragmatic AI
Instructor
Adjunct Assistant Professor at Duke University
Dr. Alfredo Deza is an Adjunct Assistant Professor in the Pratt School of Engineering at Duke University, where he teaches courses on machine learning, programming, and data engineering. He has been involved in academia for several years, focusing on innovative teaching methods and practical applications of technology. Dr. Deza co-authored the book Practical MLOps and has published several other works related to Python and machine learning. His teaching includes courses such as Python Bootcamp and advanced data engineering topics, and he actively develops online courses available on platforms like Coursera. In addition to his academic role, Dr. Deza works in developer relations at Microsoft, leveraging his extensive experience in software engineering and cloud computing to enhance educational content and support for students and faculty. He collaborates with various universities worldwide, including Georgia Tech and Carnegie Mellon University, to promote knowledge sharing in the field of technology and data science.
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