
Learn to compute the integer square root with binary search, using left and right pointers, truncating decimals, and an overflow-safe mid. Apply to interview questions from Amazon, Microsoft, and LinkedIn.
Learn an in-place three-color sort using two pointers to arrange red, white, and blue (0, 1, 2), placing zeros first, twos last, and ones in the middle with swaps.
Master the last stone weight problem by using a max-heap priority queue to repeatedly smash the two heavy stones, insert the difference back, and determine the final weight or zero.
Learn to count unique paths in a grid from the top-left to bottom-right using dynamic programming and memorization, with examples inspired by Microsoft and Amazon interview questions.
Count islands in a grid of ones and zeros by using a depth-first search to mark connected lands (horizontal or vertical) and count each unvisited group.
Learn to merge two sorted linked lists into a new sorted list using a dummy node and two pointers, achieving linear time with constant space.
Learn the O(n) solution to count subarrays with sum equal to k using a cumulative sum and a hash map, contrasting brute force with efficient hashing.
Learn to generate a sorted array of squares from a sorted input with negative numbers using a two-pointer approach, producing an efficient linear-time solution.
Learn to find all elements that appear twice in an integer array in linear time without extra space by marking visited indices with negation.
Master the valid parentheses problem by using a stack to push openings, match and pop closings, and ensure the stack is empty at the end for a valid string.
Technical interviews at Google, Amazon, Microsoft, Uber, and Airbnb are designed to test your thinking, not your memory. If you’ve ever looked at a hard problem and didn’t know where to start, this course is your roadmap.
I’ve traded the code editor for a whiteboard to give you a front-row seat to the problem-solving process. We aren't just writing scripts; we are drawing out the logic, visualizing the data flow, and building the "Why" behind every solution.
Why this approach works:
* Visual Deconstruction: We break down high-level problems into simple, digestible diagrams.
* The "First 5 Minutes" Strategy: Learn exactly how to analyze a prompt and choose the right data structure before you write a single line of code.
* Edge-Case Mastery: We don't just solve for the happy path; we prepare for the tricky constraints that top-tier interviewers use to test your limits.
* Communication Mastery: Learn the specific vocabulary you need to explain your logic clearly and confidently during the live interview.
This isn't about getting the right answer once—it's about developing a repeatable system that works for every question, from Arrays and Strings to Dynamic Programming and Graphs. Join me on the whiteboard and turn your technical interview from a source of stress into a showcase of your engineering talent.
What makes this variation unique:
* Visual Focus: It emphasizes "drawing out the logic" and "visualizing data flow," which appeals to visual learners.
* Psychological Angle: It uses phrases like "stop guessing" and "source of stress," which resonates with the emotional state of many candidates.
* The "Roadmap" Metaphor: It positions the course as a guide through the "unknown."
Would you like me to focus a version specifically on "System Design" questions, or should we stick to "Data Structures and Algorithms"?