The Advanced Rust Programming course deepens your expertise in building high-performance, concurrent applications with Rust. You’ll explore Rust’s advanced concurrency features, data handling techniques, and trait-based programming to create efficient, reusable code. By the end, you’ll be able to implement concurrent systems, manage complex data, and apply advanced traits and lifetimes for safe, high-performance development.
Advanced Rust Programming
Advanced Rust Programming
This course is part of Programming with Rust Specialization
Instructor: Edureka
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Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Harness Rust’s concurrency and multithreading to develop high-performance applications.
Employ advanced memory management techniques using lifetimes and borrowing rules.
Manage dynamic data effectively with Rust’s collections such as vectors, arrays, and slices.
Utilize advanced traits and generics to build highly reusable and modular code.
Skills you'll gain
Details to know
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Recently updated!
November 2024
Assessments
11 assignments
Taught in English
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This course is part of the Programming with Rust Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This module delves into advanced data handling, covering vectors, arrays, string manipulation, and storage tools. It equips learners with the skills to manage and analyze large datasets, preparing them to handle complex data challenges in data science and engineering.
What's included
16 videos6 readings4 assignments1 discussion prompt
In this module, we will explore concurrency and multithreading in Rust, focusing on efficient thread management, synchronization mechanisms (such as Mutex and Arc), and atomic operations. Learners will gain expertise in writing safe, high-performance concurrent applications while effectively avoiding data races and deadlocks.
What's included
11 videos1 reading3 assignments
Learners will be equipped with advanced techniques to improve code reusability and performance in Rust, with a focus on writing efficient and maintainable code through advanced traits and lifetimes. These skills are essential for optimizing Rust applications, enabling learners to enhance both code quality and performance by the end of the module.
What's included
10 videos3 readings3 assignments
Learners will demonstrate their understanding in this module through a final assessment and apply their acquired skills in a hands-on practice project.
What's included
1 video1 reading1 assignment1 discussion prompt
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Frequently asked questions
Advanced Rust Programming Course is designed to deepen your understanding and expertise in developing high-performance, concurrent applications using Rust. Rust's unique combination of safety, speed, and concurrency makes it a prime choice for system-level programming, multithreading, and data-intensive tasks.
The prerequisites for Advanced Rust Programming course include: - Computer Science Fundamentals: Familiarity with fundamental concepts such as data structures (arrays, strings, functions) can assist in applying these concepts while Programming with Rust. - Text Editor or Integrated Development Environment (IDE): Familiarity with using a text editor (e.g., VSCode, IntelliJ) or an IDE (e.g., VS Code) for writing and managing code. - Command-Line Interface (CLI) Familiarity: Basic knowledge of using the command line interface for compiling, running, and managing files can be beneficial for working with Rust tools. While these are helpful prerequisites, it's worth noting that Advanced Rust Programming course is designed to be user-friendly and accessible to many users. Beginners can start with basic tasks and gradually build their skills as they gain more experience with the tool.
Operating System Compatibility: Rust is compatible with the following Windows operating systems and Mac OS. Windows OS
Windows 11 (64-bit)
Windows 10 (64-bit)
Processor: A 64-bit processor with at least 1.4 GHz speed or higher is recommended.
Memory (RAM): A minimum of 8 GB RAM is required for better performance.
Hard Drive Space: You need at least 2 GB of free hard drive space for the installation.
Mac OS Operating System Compatibility:
Processor: A 64-bit processor (Intel or Apple Silicon) with at least 1.4 GHz speed or higher is recommended.
Memory (RAM): A minimum of 8 GB of RAM is required for better performance.
Hard Drive Space: At least 2 GB of free hard drive space for the installation and necessary dependencies.