
Solve the two sum problem with a hash map, checking each number’s complement and returning indices when found in linear time.
Master path sum II by using a depth-first search on a binary tree to find all root-to-leaf paths that total a given sum, as shown in Leetcode 113.
Mastering the Technical Interview: Logic Over Memorization
Are you preparing for a high-stakes technical interview at top-tier tech giants like Microsoft, Google, Airbnb, Uber, or Amazon? The path to landing these coveted roles is often paved with complex algorithmic challenges that can intimidate even experienced developers. Many candidates fall into the trap of rote memorization, trying to learn code snippets line-by-line. However, in a real interview setting, constraints change, edge cases arise, and memorization falls apart.
This course is designed to break that cycle.
My goal is to shift your perspective from simply "getting the answer" to deeply understanding the algorithmic logic behind it. We will move beyond syntax and focus on problem-solving intuition. By dissecting real-world interview questions used by top tech companies, I will guide you through the thought process required to tackle problems you have never seen before.
What you can expect:
Visual Learning: Every solution is explained on a whiteboard. We will visualize data structures, map out memory allocation, and trace execution flows to ensure the "why" is just as clear as the "how."
First Principles: We don't just write code; we derive it. You will learn how to identify patterns (like Sliding Windows, Two Pointers, or DFS/BFS) naturally.
Algorithmic Fluency: You will gain the confidence to explain your thoughts out loud—a critical soft skill that interviewers grade heavily.
Whether you are a fresh graduate or a seasoned engineer looking to pivot, this course will provide the mental framework necessary to ace your interviews with confidence.