Advanced Rust Programming

This course is part of Programming with Rust Specialization

Instructor: Edureka

Access provided by Volvo Cars

4 modules

Gain insight into a topic and learn the fundamentals.

14 reviews

Advanced level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

14 reviews

Advanced level

Recommended experience

1 week to complete

at 10 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

Tools you'll learn

Rust (Programming Language)

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

11 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Programming with Rust Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

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.

By the end of this course, you’ll be able to: - Build concurrent applications using Rust's powerful concurrency tools. - Work with vectors and arrays to perform complex data manipulation. - Leverage advanced data handling methods for efficient data management and transformation. - Implement advanced traits and lifetimes to create reusable, safe, and efficient code. This course is designed for Web developers, software engineers, system programmers, entrepreneurs, coding enthusiasts, and freshers who aspire to build a career in software development. Prior experience with any programming language is beneficial but not mandatory. Join this course to elevate your Rust programming skills and unlock the full potential of building fast, safe, and concurrent applications.

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

16 videos Total 89 minutes

Course Introduction 5 minutes
Vectors 7 minutes
Creating Vectors 5 minutes
Vectors Demo 2 minutes
Modifying Vectors 6 minutes
Slicing Vectors 3 minutes
Subsetting Vectors 5 minutes
Introduction to Arrays 2 minutes
Arrays Demonstration 5 minutes
Array Operations in Rust 6 minutes
Introduction to Slices 7 minutes
Slices Operations in Rust 7 minutes
Introduction to Strings 7 minutes
String Creation and Initialization 6 minutes
String Operations and Methods 7 minutes
String Encoding and Decoding 7 minutes

6 readings Total 62 minutes

Course Overview: Advanced Rust Programming 7 minutes
Working with Vector Methods 10 minutes
How to Use Discussion Forums 5 minutes
Ownership and Borrowing Rules for Arrays and Slices 10 minutes
Multidimensional Arrays in Rust 15 minutes
Contact Management System Using String Manipulation 15 minutes

4 assignments Total 90 minutes

Knowledge Check - Data Handling 60 minutes
Knowledge Check - Vectors 10 minutes
Knowledge Check - Arrays and Slices 10 minutes
Knowledge Check - Strings and String Manipulation 10 minutes

1 discussion prompt Total 10 minutes

Introduce Yourself 10 minutes

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

11 videos Total 60 minutes

Introduction to Concurrency 6 minutes
Shared State Concurrency 3 minutes
Safe Data Sharing 5 minutes
Concurrency Patterns 7 minutes
Work Stealing 3 minutes
Atomic Operations 7 minutes
Implementing a Spinklock with Atomic Operations 5 minutes
Introduction to Multithreading 7 minutes
Creating Threads in Rust 5 minutes
Thread Synchronization and Communication 5 minutes
Thread Safety in Practice 7 minutes

1 reading Total 10 minutes

Testing and Debugging Multithreaded Rust Code 10 minutes

3 assignments Total 80 minutes

Knowledge Check - Concurrency and Multithreading 60 minutes
Knowledge Check - Concurrency 10 minutes
Knowledge Check - Multithreading 10 minutes

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

10 videos Total 49 minutes

Advanced Trait Implementations 7 minutes
Objects Safety 6 minutes
Lifetimes 5 minutes
Benefits of Using Lifetimes 3 minutes
Memory Safety 6 minutes
Zero-Cost Abstractions 3 minutes
Profiling Rust Applications 6 minutes
Efficient Memory Management 5 minutes
Using Memory Efficiently in Rust 4 minutes
Optimizing Computational Performance 5 minutes

3 readings Total 40 minutes

Image Processing Library Using Zero-Cost Abstractions 15 minutes
Interaction Between Different Lifetime Annotations in Complex Rust Code 10 minutes
Inventory Management System Using Profiling in Rust 15 minutes

3 assignments Total 80 minutes

Knowledge Check - Enhancing Code Reusability and Performance 60 minutes
Knowledge Check - Advanced Traits and Lifetimes 10 minutes
Knowledge Check - Performance Optimization 10 minutes

Learners will demonstrate their understanding in this module through a final assessment and apply their acquired skills in a hands-on practice project.