Algorithm Course
Master core algorithms for real-world tech: build fast course code search, model campus maps as graphs, implement Dijkstra and TSP heuristics, and optimize performance for large systems. Ideal for professionals who want cleaner, faster, scalable code.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This concise Algorithm Course shows you how to design efficient data structures for fast course code lookup, model real-world maps as graphs, and implement shortest path and TSP heuristics step by step. You will work with hash tables, balanced trees, Dijkstra’s algorithm, and routing optimizations, gaining practical skills to analyze complexity, debug reliably, and build high-performance, scalable applications.
Elevify advantages
Develop skills
- Design fast data structures: implement arrays, hash tables, and balanced BSTs.
- Apply Dijkstra’s algorithm: build priority-queue-based shortest path solvers.
- Use TSP heuristics: code nearest neighbor and insertion methods for routing.
- Model real maps as graphs: encode rooms, buildings, and paths for quick queries.
- Optimize and test algorithms: profile, cache results, and validate graph logic.
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
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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