Data Structures and Algorithms C++ Course
This course focuses on implementing efficient data structures and algorithms in C++ for low-latency applications, covering advanced topics like segment trees, Fenwick trees, time-series buffers, memory optimization, concurrency, and performance profiling to develop production-ready components.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Master low-latency data structures and algorithms in modern C++ with this focused, hands-on course. You will implement segment trees, Fenwick trees, sliding-window maximums, and efficient time-series buffers, while learning memory layout, circular buffers, lock-free concepts, concurrency strategies, and clean API design, plus rigorous testing and profiling to build fast, reliable, production-ready components.
Elevify advantages
Develop skills
- Implement low-latency C++ data structures: segment trees, Fenwick trees, RMQ.
- Design high-performance time-series buffers with circular and ring buffer patterns.
- Optimize C++ memory usage: cache-aware layouts, pool allocators, fewer allocations.
- Build thread-safe, lock-aware pricing APIs with clean, testable C++ interfaces.
- Analyze and benchmark algorithm complexity to hit strict latency targets.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
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