Advanced Rust Programming and Real-World Applications

Packt via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

14 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English, Arabic, German, Korean, Japanese, Italian, Indonesian, French, Spanish

Found in

Part of

Rust Programming Masterclass from Beginner to Expert

Overview

Google, IBM & Meta Certificates – 40% Off

One Coursera Plus subscription covers most Professional Certificates on Coursera.

Unlock All Certificates

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Advance your Rust skills by mastering techniques for building efficient, reliable, and high-performance applications. Explore ownership, references, coercion, lifetimes, traits, error handling, concurrency, debugging, and optimization. Progress from efficient programming patterns into threads, channels, mutexes, synchronization, and async/await. Apply concurrency through web scraping, then work with files, regex, combinators, advanced references, and Rust’s type system. Deepen your expertise with error propagation, logging, tracing, downcasting, drop checking, panic safety, blockchain development, web programming, benchmarking, and performance lints. Designed for developers familiar with Rust fundamentals, this advanced course assumes knowledge of ownership, borrowing, traits, and generics. By the end of the course, you will be able to build concurrent applications, handle errors effectively, develop web and blockchain components, and optimize Rust performance.

Syllabus

Efficient Programming with Rust
- In this module, we will dive deep into advanced Rust programming techniques aimed at enhancing code efficiency. From struct initialization and function input management to string operations and the Builder pattern, this section equips you with practical strategies for writing optimized Rust code.
Concurrency
- In this module, we will explore the intricacies of concurrent programming in Rust. You will learn about thread creation and synchronization, communication via channels, state sharing, and advanced concepts like async/await, preparing you to handle real-world concurrent programming challenges.
Text Processing, File and Directory Handling
- In this module, we will cover essential file and directory handling techniques in Rust. You'll learn the basics of file operations, directory functions, and how to use regular expressions to process text efficiently, making your applications more robust and flexible.
A Deeper Look at the Sized and Unsized Types in Rust
- In this module, we will delve into the complexities of sized and unsized types in Rust. You will gain a deeper understanding of how to handle types without a known size at compile time, leveraging Rust's unique type system for more flexible and powerful programming.
Error Handling
- In this module, we will explore Rust’s unique approach to error handling. You'll learn how to effectively use the Result and Option types to handle and propagate errors, implement custom error types, and adopt layered error handling strategies to build resilient applications.
Beyond Basic References
- In this module, we will explore advanced concepts of Rust references. You’ll learn how to cast, assign, and destructure references to manage memory effectively, and how references are constrained in method chaining and pattern matching for safe and efficient code.
Coercion in Rust
- In this module, we will dive into Rust’s coercion system, exploring automatic type conversions like deref, reference, and function item coercion. You'll also understand how coercion enables dynamic dispatch with trait objects and how it’s applied in generics for enhanced flexibility in your code.
Beyond Simple Lifetimes
- In this module, we will go beyond simple lifetime concepts and explore advanced topics such as lifetime bounds, subtyping, variance, and invariance. You'll deepen your understanding of Rust’s memory safety guarantees and learn how to manage lifetimes in more complex scenarios.
Traits
- In this module, we will explore Rust’s powerful trait system, focusing on the Orphan Rule, trait object limitations, and advanced concepts like operator overloading and sealed traits. This will enable you to write more flexible and efficient Rust code while managing complexity.
Downcasting
- In this module, you will learn how to downcast between trait objects and concrete types to enable more flexible code in Rust. You’ll also explore real-world use cases for downcasting and discover how to check types without downcasting using Rust’s TypeId.
Dropcheck
- In this module, we will explore Rust’s Drop trait, focusing on how Rust handles resource cleanup when objects go out of scope. You'll learn about drop order, the impact of partial moves, and strategies to avoid drop operations when needed for efficient resource management.
Blockchain in Rust
- In this module, we will merge the theory and practical application of blockchain technology using Rust. Starting from the fundamental concepts of hashes and blocks, you'll move on to building and validating a blockchain, acquiring the skills to develop blockchain solutions.
Web Programming
- In this module, we will introduce you to web programming with Rust. You will learn how to handle HTTP protocols, manage requests and responses, and use threads to process multiple requests concurrently, enhancing the performance and responsiveness of your web applications.
Measuring and Improving Performance
- In this module, we will focus on enhancing the performance of Rust applications. You will learn how to use Criterion for setting up and analyzing benchmarks, as well as how to identify and resolve performance issues using lints. This knowledge will empower you to optimize your Rust code for better efficiency and speed.