Data Structures and Algorithms Course
This course focuses on practical implementation of data structures and algorithms for building scalable, high-performance systems, including session stores, recommendation queues, and time-ordered logs, with emphasis on Big-O analysis, concurrency safety, testing, benchmarking, and production deployment.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This Data Structures and Algorithms Course equips you with practical, implementation-focused skills to design fast, reliable systems. You will build session stores, recommendation queues, and time-ordered logs, analyse Big-O trade-offs, and apply concurrency-safe patterns. Learn testing, benchmarking, observability, and safe deployment so your code scales, stays correct, and performs in real-world production environments.
Elevify Advantages
Develop Skills
- High-performance data structures: design, benchmark, and tune for real traffic.
- Scalable session stores: implement O(1) lookups, eviction, and concurrency safety.
- Priority queues for recommendations: build heap-based, per-user ranked queues.
- Time-ordered logs: design append-only logs with fast indexed time-range search.
- Production-ready code: add tests, observability, and safe deployment patterns.
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 say
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