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Algorithm Course

Algorithm Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches designing efficient data structures for quick lookups, modelling real-world maps as graphs, and implementing shortest path algorithms like Dijkstra’s and TSP heuristics. Learners gain hands-on experience with hash tables, balanced trees, priority queues, and optimisation techniques to analyse time complexity, debug effectively, and develop scalable high-performance applications.

Elevify advantages

Develop skills

  • Design efficient data structures: build arrays, hash tables, and balanced BSTs.
  • Implement Dijkstra’s algorithm: develop priority-queue shortest path solutions.
  • Apply TSP heuristics: code nearest neighbour and insertion techniques for routing.
  • Model maps as graphs: represent rooms, buildings, and paths for fast queries.
  • Optimise algorithms: profile performance, cache data, and validate graph operations.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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