Technical interviews at top companies are dominated by data structures and algorithms problems. But most candidates approach them wrong - memorizing hundreds of individual solutions instead of learning the underlying patterns. This course teaches patterns. Once you recognize that a problem is a sliding window problem, you do not need to have seen that specific problem before. You know the technique, you know the template, and you can adapt it to the variant in front of you.

This course covers 27 algorithmic patterns organized into 8 sections, progressing from foundational techniques (arrays, hashing, sorting) through classic patterns (two pointers, sliding window, stacks) to advanced topics (dynamic programming, tries, topological sort). Each lesson explains why a pattern works, walks through the mechanics with animated visualizations, and then gives you 2-3 problems to solve in an embedded code editor. You learn the pattern, see it in motion, then immediately apply it.

The problems are scaffolded within each lesson - typically starting with an easy problem that directly applies the pattern, then progressing to medium and hard problems that require combining the pattern with additional insight. This mirrors how interview difficulty escalates: the interviewer starts with the base case and then adds constraints.

By the end of this course, you will have internalized the 27 most important algorithmic patterns, solved 70+ classic problems, and built the pattern-recognition muscle that separates candidates who solve interview problems in 20 minutes from those who stare at the screen for 45.