💼 Job Opportunities
Software Development Engineer (SDE-1/SDE-2), Backend Engineer, Full Stack Developer at Google, Meta, Amazon, Microsoft, Apple, Netflix, Flipkart, Walmart, Uber, Swiggy, Zomato, PhonePe, Razorpay, Cred, Zerodha, Atlassian, Adobe, Salesforce, Oracle, Paytm, Freshworks, Zoho. Expected salary range: 8-45 LPA for freshers; 20-80 LPA for experienced candidates.
📚 Curriculum (10 Units)
Unit 1: Java Foundations & Complexity Analysis 7 topics
Java 21 LTS Setup, JDK vs JRE, IntelliJ IDEA for DSA
Install JDK 21, configure IntelliJ, understand JVM memory model (heap, stack, metaspace), write your first optimized Java program.
Primitives, Wrappers, Autoboxing Pitfalls
Integer cache (-128 to 127), == vs .equals(), performance impact of autoboxing in hot loops — a common MAANG trap.
Big-O, Big-Theta, Big-Omega with Real Examples
Asymptotic analysis, amortized complexity (ArrayList resize), master theorem for divide-and-conquer recurrences.
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Space Complexity & Recursion Stack Analysis
Auxiliary vs total space, tail-call absence in JVM, counting stack frames in recursive solutions.
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Java Collections Framework Deep Dive
ArrayList vs LinkedList vs ArrayDeque internals, HashMap load factor & treeification threshold (8/6), when to pick which.
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Streams API vs Loops — Performance Reality
When streams hurt performance, JIT optimizations, parallelStream() gotchas, MAANG preference for explicit loops in hot paths.
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Writing Clean Interview Code — STAR Pattern
How to structure a 45-min coding round: clarify, examples, approach, code, test, optimize. Mistakes that auto-reject you.
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Unit 2: Arrays & Two-Pointer Techniques 8 topics
Array Memory Layout & Cache Locality
Contiguous memory, CPU cache lines, why 2D arrays are faster in row-major traversal. Real benchmarks.
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Two Pointers: Same Direction & Opposite Ends
Remove duplicates, move zeroes, container with most water, 3Sum, 4Sum patterns.
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Sliding Window — Fixed & Variable Size
Max sum subarray of size k, longest substring without repeating, minimum window substring.
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Prefix Sums & Difference Arrays
Range sum queries, subarray sum equals K, 2D prefix sums for matrix problems.
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Kadane's Algorithm & Its Variants
Maximum subarray, maximum product subarray, circular subarray sum, maximum sum with at most K elements.
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Dutch National Flag & In-Place Partitioning
Sort colors, segregate 0s/1s/2s, move negatives to left — all in O(n) time, O(1) space.
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Matrix Problems: Spiral, Rotate, Search 2D
Rotate matrix 90°, spiral traversal, search in row/column sorted matrix (Staircase search).
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MAANG Array Pattern Recap + Mock Problem
Identify pattern from problem statement in under 2 minutes — a skill interviewers judge.
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Unit 3: Strings & Pattern Matching 7 topics
Java String Immutability & StringBuilder Internals
Why String is final, String pool, StringBuilder's char[] buffer resize, StringJoiner for modern code.
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Character Arithmetic & ASCII Tricks
Counting with int[26], converting case with XOR 32, anagram detection in O(n) without sorting.
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Palindromes — Check, Count, Longest
Two-pointer check, Manacher's algorithm intro, expand-around-center for longest palindromic substring.
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KMP Algorithm — Pattern Matching in O(n+m)
LPS array construction, why naive is O(nm), step-by-step KMP with failure function.
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Rabin-Karp & Rolling Hash
Polynomial hashing, collision handling, applications in plagiarism detection and DNA matching.
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Anagrams, Isomorphic & Group Problems
Group anagrams, find all anagrams in string, isomorphic strings, word pattern.
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Advanced: Z-Algorithm & Suffix Arrays (Intro)
Z-array construction, suffix array applications, when these appear in senior-level interviews.
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Unit 4: Linked Lists 7 topics
Singly vs Doubly vs Circular — When to Use
Memory overhead, insertion/deletion cost, real use cases (LRU cache uses doubly linked).
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Reversal Patterns — Full, K-group, Between Indices
Iterative reversal, recursive reversal, reverse nodes in k-group (LeetCode Hard, asked at Google).
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Fast & Slow Pointers (Floyd's Cycle Detection)
Detect cycle, find cycle start (mathematical proof), find middle node, palindrome linked list.
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Merging & Sorting Linked Lists
Merge two sorted lists, merge K sorted lists (heap & divide-conquer), merge sort on LinkedList.
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LRU Cache Implementation (Meta Favorite)
HashMap + Doubly LinkedList design, O(1) get/put, common follow-ups (LFU, thread-safety).
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Clone List with Random Pointer
Three approaches: HashMap, interleaving, recursion with memoization. Google interview classic.
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Intersection, Add Two Numbers, Odd-Even Pointer
Find intersection without extra space, add two numbers (reversed and forward), odd-even segregation.
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Unit 5: Stacks, Queues & Hashing 8 topics
Stack ADT & Java Deque (avoid Stack class)
Why ArrayDeque is preferred over legacy Stack, implementation from scratch, infix-to-postfix.
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Monotonic Stack Pattern
Next greater element, daily temperatures, largest rectangle in histogram, trapping rain water.
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Queue, Deque & Circular Buffers
ArrayBlockingQueue, LinkedBlockingQueue, sliding window maximum using Deque.
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Implement Stack using Queues & Vice Versa
Both O(1) push-O(n) pop and O(n) push-O(1) pop variants. Common warm-up question.
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HashMap Internals (Java 21) — Buckets, Hashing, Collisions
hashCode() and equals() contract, treeification at threshold 8, open addressing vs chaining.
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HashSet Patterns — Duplicates, Intersection, Unique
Contains duplicate II/III, intersection of arrays, longest consecutive sequence in O(n).
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Custom Hashing for Complex Keys
Hashing pairs, coordinates, using Map, Objects.hash() pitfalls.
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Design Problems: Min Stack, Max Stack, LFU Cache
Auxiliary stack technique, how to maintain min/max in O(1), LFU with two hashmaps.
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Unit 6: Recursion, Backtracking & Divide-and-Conquer 7 topics
Recursion Fundamentals & Tail Calls in JVM
Base case design, recursion tree visualization, JVM stack limits (-Xss), why tail calls aren't optimized.
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Subsets, Permutations, Combinations Generation
Power set, all permutations, k-combinations, distinct subsets with duplicates.
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Backtracking Template & Pruning
N-Queens, Sudoku solver, word search in grid, rat in a maze. Pruning strategies that cut 90% of time.
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Divide & Conquer — Merge Sort, Quick Sort Deep Dive
In-place quicksort, 3-way partitioning, why Java uses TimSort (hybrid), worst-case analysis.
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Binary Search Mastery — Beyond Sorted Arrays
Search rotated array, find peak, median of two sorted arrays, binary search on answer (aggressive cows pattern).
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Expression Problems — Evaluate, Add Operators
Different ways to add parentheses, basic calculator I/II/III, expression tree construction.
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Memoization — Bridge to Dynamic Programming
Convert recursion to top-down DP, identify overlapping subproblems, state design.
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Unit 7: Trees & Binary Search Trees 8 topics
Binary Tree Basics — Recursive & Iterative Traversals
Inorder, preorder, postorder, level-order. Iterative versions using stack/queue (Morris traversal as bonus).
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Tree Construction from Traversals
Build from preorder+inorder, postorder+inorder, serialize/deserialize (Amazon interview staple).
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Views of Binary Tree — Top, Bottom, Left, Right
Level-order with horizontal distance, vertical order traversal (LC Hard), boundary traversal.
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Lowest Common Ancestor (LCA) Variants
LCA in binary tree, LCA in BST, LCA with parent pointer, Kth ancestor with binary lifting.
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Diameter, Max Path Sum, Tree Dynamic Programming
Post-order return-value pattern, max path sum between any two nodes (Google favorite).
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Binary Search Tree — Validation, Insertion, Deletion
Validate BST (inorder vs range check), delete node with two children, inorder successor/predecessor.
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Balanced Trees — AVL & Red-Black (Conceptual)
Rotation mechanics, why Java TreeMap uses Red-Black, height balance factor, interview-level depth.
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N-ary Trees & Tree Isomorphism
Generic tree representation, N-ary level order, check if two trees are mirror/isomorphic.
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Unit 8: Heaps, Tries & Advanced Structures 8 topics
Min-Heap, Max-Heap, PriorityQueue in Java
Heapify, insert, extract logic. Java PriorityQueue with Comparator for max-heap and custom ordering.
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Top-K Pattern — The MAANG Bread and Butter
Kth largest element, top K frequent, K closest points to origin. Quickselect vs heap trade-off.
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Median from Data Stream (Two-Heap Technique)
Maintain max-heap + min-heap invariant. Extensions: sliding window median.
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Merge K Sorted Lists/Arrays with Heap
Heap-based merging in O(n log k), comparison with divide-conquer approach.
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Trie (Prefix Tree) — Insert, Search, StartsWith
Node structure using HashMap vs array[26], word dictionary, autocomplete system.
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Advanced Trie — Word Search II, Replace Words
DFS + Trie pruning, streaming replacements, max XOR pair using binary trie.
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Disjoint Set Union (Union-Find) with Path Compression
Rank/size optimization, Kruskal's MST prerequisite, connected components in graphs.
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Segment Trees & Fenwick Trees (BIT)
Range sum queries with updates, lazy propagation intro, when each is preferred.
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Unit 9: Graphs & Shortest Path Algorithms 8 topics
Graph Representations — Adjacency List vs Matrix
Space-time trade-offs, when matrix is better (dense graphs), HashMap adjacency for sparse graphs.
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BFS & DFS — Iterative & Recursive
Connected components, flood fill, number of islands, clone graph, bipartite check.
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Topological Sort — Kahn's & DFS-based
Course schedule I/II, alien dictionary, build order resolution (a real MAANG problem).
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Dijkstra's Algorithm — Single Source Shortest Path
PriorityQueue implementation, why it fails with negative weights, network delay time.
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Bellman-Ford & Floyd-Warshall
Negative cycle detection, all-pairs shortest path, matrix-based DP approach.
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Minimum Spanning Tree — Kruskal & Prim
Union-Find in Kruskal, PriorityQueue in Prim, connecting cities with minimum cost.
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Union-Find Problems — Accounts Merge, Redundant Connection
Classic problems where DSU wins over DFS, friend circles, smallest string with swaps.
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Advanced — A*, Tarjan's SCC, Bridges & Articulation Points
Heuristic search for pathfinding, critical connections in network (LC Hard).
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Unit 10: Dynamic Programming & System Design Basics 9 topics
DP Mindset — Identify, Define State, Transition
The 5-step DP framework, when to use DP vs greedy vs backtracking.
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1D DP — Fibonacci, Climbing Stairs, House Robber
Space optimization from O(n) to O(1), house robber I/II/III, decode ways.
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2D DP — Grid Paths, Edit Distance, LCS
Unique paths with obstacles, Levenshtein distance, longest common subsequence family.
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Knapsack Family — 0/1, Unbounded, Subset Sum
Coin change I/II, partition equal subset sum, target sum, last stone weight II.
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DP on Subsequences — LIS, LCS, Palindromic
Longest increasing subsequence O(n log n) with patience sort, longest palindromic subsequence.
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DP on Intervals & Partitioning
Matrix chain multiplication, burst balloons, palindrome partitioning II.
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DP with Bitmask & State Compression
Traveling salesman (small N), assign tasks to workers, shortest path visiting all nodes.
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System Design 101 for SDE Interviews
Scalability, load balancing, caching layers, SQL vs NoSQL decision, design URL shortener walkthrough.
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Mock Interview & Placement Roadmap
Resume review, LinkedIn optimization, GitHub portfolio, company-wise prep, salary negotiation.
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Duration
120 Days
Format
Both Classes
Trainer
Expert Trainer
Students
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Language
Telugu / English
Certificate
On completion
Placement
80% rate