C# Concurrency for Senior Engineering Interviews Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
A hands-on, FAANG-grade course designed to master C# concurrency for senior engineering interviews. This 15-hour program combines theory and practice through interactive coding challenges, covering low-level threading to advanced async patterns and real-world interview problems. Built by ex-MAANG engineers, it delivers targeted, interview-focused learning with immediate feedback and performance analysis.
Module 1: Basics
Estimated time: 3 hours 45 minutes
- Concurrency fundamentals—process vs. thread
- Race conditions, deadlocks, and liveness issues
- Mutex vs. monitor semantics
- Amdahl’s Law and concurrency limits
Module 2: API Overview
Estimated time: 5 hours 15 minutes
- .NET threading APIs: ThreadLocal and ThreadPool
- Tasks and WaitHandles for synchronization
- SpinLock, Barrier, and CountdownEvent usage
- volatile keyword and interlocked operations
Module 3: Asynchronous Programming
Estimated time: 1 hour 45 minutes
- Async/await mechanics in C#
- Differentiating I/O-bound vs. CPU-bound tasks
- Common caveats in asynchronous code
Module 4: Interview Practice Problems
Estimated time: 4 hours
- Implementing a thread-safe BlockingQueue
- Token Bucket rate limiting algorithm
- Deferred callbacks and readers-writer locks
- Dining Philosophers and Uber Ride problem
- Multithreaded merge sort implementation
Module 5: The End
Estimated time: 15 minutes
- Course wrap-up and key takeaways
- Best practices for interview communication
- Teamwork and feedback in system design discussions
Prerequisites
- Familiarity with C# syntax and object-oriented programming
- Basic understanding of .NET runtime and memory management
- Experience with debugging and writing unit tests in C#
What You'll Be Able to Do After
- Explain advanced C# concurrency primitives clearly in interviews
- Distinguish concurrency vs. parallelism and preemptive vs. cooperative multitasking
- Solve classic synchronization problems like Reader–Writer and Producer–Consumer in C#
- Apply lock-free patterns and atomic operations to real-world scenarios
- Design efficient async workflows and communicate trade-offs effectively during system design rounds