DesignGurus – Grokking Advanced Coding Patterns for Interviews 2026-1

Description

Grokking Advanced Coding Patterns for Interviews course. This course is specifically designed for students and professionals who aim to succeed in technical interviews at world-class companies such as Meta, Apple, Amazon, Netflix, and Google. This course examines in a rigorous and scientific manner the most essential and advanced coding patterns that are typically asked in difficult technical interviews. The ultimate goal is to equip participants with the necessary strategies and perspectives to solve even the most challenging programming problems with confidence and high efficiency. In this training, each coding pattern is explained with practical examples, step-by-step algorithms, and several different problem-solving methods to provide the student with a deep understanding of the concepts and how to implement them effectively. This course goes beyond solving a few simple problems and gives the programmer’s mind order and structure. Given the importance of competition in today’s job market, this content provides all the necessary tools to differentiate among competitors. From understanding the basics of patterns like Counting and Simulation to mastering much more complex topics, everything is included in this collection so that the candidate is prepared for any type of unexpected question.

What you will learn

• Master key and commonly used patterns in high-level technical interviews to solve complex problems.
• Learn advanced algorithms such as Segment Trees for managing interval data.
• Professional training on Mo’s Algorithm for optimizing queries on arrays.
• Identify and implement Articulation Points in graphs to analyze network connections.
• Deep understanding of Counting concepts and Simulation methods to recreate real-world scenarios.
• The ability to quickly recognize the appropriate pattern for any issue in high-pressure interview situations.
• Learn code optimization techniques to reduce time and memory complexity in solving problems.
• Implementing step-by-step algorithms for data structure problems and unconventional algorithms.

This course is suitable for people who:

• Computer engineering and data science students seeking employment at MAANG companies.
• Professional programmers who want to advance their career and participate in technical interviews with large companies.
• Those interested in programming competitions who want to test their skills in solving difficult algorithmic problems.
• People who are familiar with the basic concepts of data structures and now want to move into more advanced topics.
• Developers who want to strengthen their analytical thinking and problem-solving abilities in a structured way.
• Any professional who wants to become familiar with modern and optimized coding patterns at a global level.

Grokking Advanced Coding Patterns for Interviews Course Details

• Publisher: DesignGurus
• Instructor: DesignGurus
• Education level: Intermediate
• Training duration: 40 hours
• Number of lessons: 128

Course topics

• Course Overview
• Introduction to Counting Pattern
• Count Elements With Maximum Frequency (easy)
• Solution Count Elements With Maximum Frequency
• Maximum Population Year (easy)
• Solution Maximum Population Year
• Minimum Increment to Make Array Unique (medium)
• Solution Minimum Increment to Make Array Unique
• Minimum Number of Steps to Make Two Strings Anagram (medium)
• Solution Minimum Number of Steps to Make Two Strings Anagram
• Least Number of Unique Integers after K Removals (medium)
• Solution Least Number of Unique Integers after K Removals
• Subarrays with K Different Integers (hard)
• Solution Subarrays with K Different Integers
• Introduction to Monotonic Queue Pattern
• Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit (medium)
• Solution Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit
• Minimum Number of Coins for Fruits (medium)
• Solution Minimum Number of Coins for Fruits
• Continuous Subarrays (medium)
• Solution Continuous Subarrays
• Sum of Subarray Minimums (medium)
• Solution Sum of Subarray Minimums
• Max Value of Equation (hard)
• Solution Max Value of Equation
• Introduction to Simulation Pattern
• Array Transformation (easy)
• Solution Array Transformation
• Water Bottles (easy)
• Solution Water Bottles
• Spiral Matrix III (medium)
• Spiral Matrix III Solution
• Merge Nodes in Between Zeros (medium)
• Solution Merge Nodes in Between Zeros
• Validate Stack Sequences (medium)
• Solution Validate Stack Sequences
• Removing Stars From a String (medium)
• Solution Removing Stars From a String
• Introduction to Linear Sorting Algorithms
• Counting Sort Algorithm
• Radix Sort Algorithm
• Bucket Sort Algorithm
• Relative Sort Array (easy)
• Relative Sort Array Solution
• Height Checker (easy)
• Height Checker Solution
• Array Partition (easy)
• Array Partition Solution
• Top K Frequent Words (medium)
• Solution Top K Frequent Words
• Maximum Gap (medium)
• Maximum Gap Solution
• Sort Characters By Frequency (easy)
• Solution Sort Characters By Frequency (easy)
• Introduction to Meet in the Middle
• Subset Sum Equal to Target (medium)
• Solution Subset Sum Equal to Target
• Subsets having Sum between A and B (hard)
• Solution Subsets having Sum between A and B
• Closest Subsequence Sum (hard)
• Solution Closest Subsequence Sum
• Split Array With Same Average (hard)
• Solution Split Array With Same Average
• Partition Array Into Two Arrays to Minimize Sum Difference (hard)
• Solution Partition Array Into Two Arrays to Minimize Sum Difference
• Introduction to MO’s Algorithm Pattern
• XOR Queries of a Subarray (medium)
• Solution XOR Queries of a Subarray
• Distinct elements in subarray (medium)
• Solution Distinct elements in subarray
• Minimum Absolute Difference Queries (medium)
• Solution Minimum Absolute Difference Queries
• Range Frequency Queries (medium)
• Solution Range Frequency Queries
• Introduction to Serialize and Deserialize Pattern
• Encode and Decode Strings (medium)
• Solution Encode and Decode Strings
• Serialize and Deserialize BST (medium)
• Solution Serialize and Deserialize BST
• Serialize and Deserialize Binary Tree (hard)
• Solution Serialize and Deserialize Binary Tree
• Verify Preorder Serialization of a Binary Tree (medium)
• Solution Verify Preorder Serialization of a Binary Tree
• Serialize and Deserialize N-ary Tree (hard)
• Solution Serialize and Deserialize N-ary Tree
• Introduction to Clone Pattern
• Copy List with Random Pointer (medium)
• Solution Copy List with Random Pointer
• Clone Binary Tree With Random Pointer (medium)
• Solution Clone Binary Tree With Random Pointer
• Clone Graph (medium)
• Solution Clone Graph
• Clone N-ary Tree (hard)
• Solution Clone N-ary Tree
• Introduction to Articulation Points and Bridges Pattern
• Minimum Number of Days to Disconnect Island (hard)
• Solution Minimum Number of Days to Disconnect Island
• Minimize Malware Spread (hard)
• Solution Minimize Malware Spread
• Minimize Malware Spread II (hard)
• Solution Minimize Malware Spread II
• Critical Connections in a Network (hard)
• Solution Critical Connections in a Network
• Introduction to Segment Tree Pattern
• Operations on Segment Tree
• Range Minimum Query (easy)
• Solution Range Minimum Query
• Queue Reconstruction by Height (medium)
• Solution Queue Reconstruction by Height
• Count Number of Teams (medium)
• Solution Count Number of Teams
• Rectangle Area II (hard)
• Rectangle Area Solution II
• Introduction to Binary Indexed Tree Pattern
• Implementation of Binary Indexed Tree
• Number of Longest Increasing Subsequence (medium)
• Solution Number of Longest Increasing Subsequence
• Maximum Profitable Triplets With Increasing Prices I (medium)
• Solution Maximum Profitable Triplets With Increasing Prices I
• Queries on a Permutation With Key (medium)
• Solution Queries on a Permutation With Key
• Count of Range Sum (hard)
• Solution Count of Range Sum
• Reverse Pairs (hard)
• Solution Reverse Pairs
• Minimum Number of Moves to Make Palindrome (hard)
• Solution Minimum Number of Moves to Make Palindrome
• Coding Patterns A Cheat Sheet

Course images