Coding Interview Algorithms: Complete Guide
Master all essential coding interview algorithms with detailed explanations, step-by-step implementations, and real-world examples. Learn when and where to use each algorithm.
Course Overview
What You Will Build Toward
- Navigate the Coding Interview Algorithms: Complete Guide learning path across 10 chapters.
- Choose the right chapter based on your current goal and prerequisites.
- Move from overview material into the canonical chapter experience.
Chapter Path
Start With Any Chapter
Before You Start
Recommended Background
- Comfort with one programming language.
- Basic Big-O notation and data structure terminology.
Coding Interview Algorithms: Complete Guide
Master all essential coding interview algorithms ordered by importance for AI/ML interviews. Detailed explanations, step-by-step implementations, and real-world examples with comprehensive code walkthroughs.
Chapter 1: Arrays & Strings
Two Pointers, Sliding Window, Hash Maps
- Two pointers technique
- Sliding window patterns
- Hash maps and sets
- String manipulation
- Prefix sums and Kadane's algorithm
Chapter 2: Trees & Binary Trees
DFS, BFS, BST, Tree Construction
- Tree traversals (DFS, BFS)
- Binary Search Trees
- Tree construction problems
- Lowest Common Ancestor
- Tree validation
Chapter 3: Dynamic Programming
1D/2D DP, Memoization, Classic Patterns
- 1D and 2D DP problems
- Memoization techniques
- Knapsack problems
- Longest Common Subsequence
- State transitions
Chapter 4: Graphs
DFS, BFS, Shortest Paths, Topological Sort
- Graph representation
- DFS and BFS traversal
- Shortest path algorithms
- Topological sorting
- Union-Find (Disjoint Set)
Chapter 5: Binary Search
Search in Sorted Arrays, Search Space Reduction
- Classic binary search
- Search in rotated arrays
- Search space reduction
- Finding boundaries
- Binary search on answer
Chapter 6: Stacks & Queues
Monotonic Stacks, Priority Queues, BFS
- Stack operations and applications
- Monotonic stacks
- Priority queues and heaps
- BFS with queues
- Expression evaluation
Chapter 7: Backtracking
Permutations, Combinations, Constraint Satisfaction
- Backtracking fundamentals
- Permutations and combinations
- Constraint satisfaction
- Pruning strategies
- N-Queens and Sudoku
Chapter 8: Greedy Algorithms
Activity Selection, Interval Scheduling
- Greedy choice property
- Activity selection problem
- Interval scheduling
- Huffman coding
- When to use greedy
Chapter 9: Linked Lists
Traversal, Reversal, Fast/Slow Pointers
- Linked list traversal
- Reversing linked lists
- Fast and slow pointers
- Merging and intersection
- Cycle detection
Chapter 10: Bit Manipulation
Bitwise Operations, Common Tricks, XOR Patterns
- Bitwise operations (AND, OR, XOR)
- Bit manipulation tricks
- XOR patterns
- Counting bits
- Power of two checks