Dynamic Programming Course
Master dynamic programming from first principles to advanced optimisation techniques used in top-tier software engineering interviews and competitive programming. This course covers every major DP pattern — from knapsack and interval DP to bitmask and tree DP — with rigorous derivations and hands-on implementation. If you want to solve hard algorithmic problems with confidence, this is the course that gets you there.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
You will build a deep understanding of overlapping subproblems and optimal substructure, the two properties that make dynamic programming work. Starting with memoization and tabulation, you will progress through classic 1D and 2D DP problems, string alignment, knapsack variants, interval DP, and tree DP. You will also learn advanced speed-up techniques including the convex hull trick, Knuth's optimisation, and bitmask DP for subset enumeration. Supporting topics cover algorithm complexity analysis, essential data structures, and structured problem-solving frameworks for technical interviews. By the end, you will recognise DP patterns quickly and implement correct, optimised solutions under pressure.
Elevify advantages
Develop skills
- Memoisation and Tabulation: Convert recursive solutions into efficient DP implementations using both strategies.
- State Space Design: Define precise DP states and recurrences for one-dimensional and two-dimensional problems.
- Advanced DP Optimisation: Apply convex hull trick and divide-and-conquer techniques to reduce algorithmic complexity.
- Problem Pattern Recognition: Classify and map real-world problems to the correct dynamic programming framework.
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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