Rust Programming
This course introduces Rust, a systems programming language designed for speed, memory safety, and concurrency without sacrificing performance.
- Course fee
- Contact us
- Duration
- 5 days
- Group rate
- Ask an advisor
Course overview
This course introduces Rust, a systems programming language designed for speed, memory safety, and concurrency without sacrificing performance. Participants will learn the core features of Rust, including ownership, borrowing, lifetime, concurrency, and error handling. By the end of the course, learners will be able to develop efficient and safe applications using Rust, addressing the needs of both low-level systems programming and high-performance applications.
Training methodology
Hands-on Coding Exercises – Practical labs with real-world projects
Live Demonstrations – Step-by-step development and debugging
Collaborative Learning – Pair programming and peer reviews
Case Studies & Best Practices – Solutions to common systems programming challenges
Capstone Project – Building a performance-critical application using Rust
Target competencies
- Core Rust concepts: ownership, borrowing, and lifetimes
- Concurrency and multi-threading in Rust
- Efficient memory management using Rust's borrowing system
- Writing safe and performant code with Rust
- Error handling and working with Result and Option types
- Building command-line tools and applications
Course objectives
By the end of the course, participants will be able to:
- Write safe, efficient, and concurrent code using Rust
- Understand and apply Rust’s ownership, borrowing, and lifetime rules
- Develop applications with concurrency and multi-threading
- Work with Rust's memory management model
- Build and debug Rust applications using the Rust toolchain
- Implement error handling, testing, and debugging techniques in Rust
Course outline
- Overview of Rust’s features and comparison with other programming languages
- Installing Rust and setting up the development environment (Rustup, Cargo, and VS Code)
- Introduction to Cargo: Rust’s package manager and build system
- Creating your first Rust application (Hello, World!)
- Understanding the Rust community and resources
- Rust’s variable binding, mutability, and constants
- Core data types: integers, floating point, booleans, strings, tuples, and arrays
- Working with functions, parameters, and return types
- Introduction to Rust’s ownership system and its impact on variable management
- Rust's conditional statements (if, match, loops)
- Using match expressions for pattern matching
- Rust’s powerful pattern matching with enums and struct patterns
- The importance of Rust’s match arms exhaustiveness checking
- Detailed understanding of ownership and borrowing in Rust
- The concept of references: immutable and mutable
- Managing lifetimes to avoid dangling references
- Working with the Rust borrow checker
- Ownership rules and how they ensure memory safety without garbage collection
- Creating and using structs in Rust
- Defining and pattern matching with enums
- Handling Option and Result types for safe error management
- Rust’s error handling best practices using match statements
- Writing custom error types using the Error trait
- Introduction to concurrency concepts in Rust
- Rust’s concurrency model: ownership, borrowing, and threads
- Using threads for multi-threading in Rust
- Channels for message passing between threads
- Rust’s async/await model for asynchronous programming
- Synchronization with mutexes and atomic operations
- Working with Rust’s standard collections: vectors, hash maps, and strings
- The power of iterators in Rust for efficient data manipulation
- Using lazily evaluated iterators for performance
- Exploring Rust’s iterator patterns for complex data processing
- Traits and generics for creating flexible and reusable code
- Smart pointers in Rust: Box, Rc, and Arc
- Understanding unsafe Rust for performance-critical sections
- Memory management and manual allocations in Rust
- Writing efficient low-level system programming code
- Writing and running unit tests using the #[test] attribute
- Using Rust’s testing framework to ensure code quality
- Debugging Rust applications using gdb and Rust’s built-in debugger
- Benchmarking and profiling Rust code for performance optimization
- Structuring and organizing tests for larger applications
- Using Cargo to manage dependencies and build your project
- Writing and deploying command-line tools and applications in Rust
- Cross-compiling Rust applications for different architectures
- Deploying Rust applications on cloud services and servers
- Preparing a Rust app for production deployment
Morning and evening classes are available. CompuBase Training Center, Abu Dhabi.
