
Explore how time and space complexity shape Java performance using Big O notation, covering O(1), O(n), O(n^2), and O(log n) from simple loops to nested loops.
Explore types of programming languages and the fundamentals of memory management to build a strong foundation in programming. Apply these concepts to prepare for coding interviews.
Learn flowcharts and pseudocode to model program flow from start to stop, using input, processing, and conditions, with beginner-friendly examples like prime checks.
Explore how Java programs execute from .java source to .class bytecode, run on the Java Virtual Machine, achieving platform independence, with installation of the JDK and JRE.
Engage in Java programming, learning the main method in a public class, data types and scopes, and command-line arguments, then generate bytecode with javac and run with Java using system.out.println.
Learn the first Java program concepts, including input/output handling, debugging techniques, and Java datatypes, as part of essential fundamentals.
Explore Java switch statements, including basic syntax, break behavior, default cases, and nested switches, plus modern enhanced switch improvements for cleaner code.
Explore functions and methods in Java, part 2, with practical patterns aligned to interview preparation.
Explore 2d and jagged arrays in Java, learn input with nested loops, access arr[row].length, and print matrices using arrays and enhanced for loops.
Analyze how data growth affects file handling in java, comparing linear, log, and constant time complexities to optimize performance and understand time efficiency.
Master object-oriented programming in Java by learning classes and objects, constructors, and core concepts such as inheritance, polymorphism, encapsulation, interfaces, generics, collections, and file handling.
Delve into object-oriented programming concepts by examining packages, static, and the singleton class in Java, and explore in-built methods and overriding toString for custom objects.
Explore single, multi-level, and hierarchical inheritance, constructor chaining with super and copy constructors, and why Java avoids multiple inheritance using interfaces, with reference types shaping member access.
Explore inheritance patterns in Java, including single level, hierarchical, multiple, and hybrid inheritance, and how interfaces enable these concepts. Learn polymorphism through compile-time overloading and runtime overriding using shapes examples.
Explore inheritance, polymorphism, encapsulation, and abstraction in Java, including why static methods cannot be overridden. See how data hiding uses getters and setters and how abstraction differs from encapsulation.
Explore abstract classes and abstract methods, learn how child classes override methods, and understand why you cannot instantiate an abstract class while leveraging runtime polymorphism.
Master abstract classes and interfaces, including why abstract classes can't be instantiated, how interfaces enable multiple inheritance, and how to implement and override engine, brake, and media in a car.
Explore generics to build a reusable, type-safe custom ArrayList from scratch, enabling arrays of any object type, avoiding raw type warnings, and illustrating amortized resizing behavior.
Explore object oriented programming concepts with generics, a custom ArrayList, and sorting using Comparable and Comparator; leverage lambda expressions for concise code and master exception handling in Java.
Master recursion to build understanding of data structures, algorithms, and interview prep; learn how function calls and stack memory drive recursive solutions and debugging techniques.
Explore recursion fundamentals through the Fibonacci problem, learning to break problems into smaller parts. Form recurrence relations, identify base cases, and build a recursive tree.
Explore basic recursion through practical problems, learn to build a recursion tree and call stack, and solve examples like printing sequences and factorial with clear base cases and complexity notes.
Explore recursion with level 1 questions, coding factorial, sum and product of digits, and reverse a number, while mastering base cases, recursion calls, and subtle n minus minus pitfalls.
Delve into recursion with arrays, covering theory, code, and tips on passing arrays in arguments, returning arrays, and checking whether an array is sorted using a base condition in Java.
Explore recursion for array search, implementing linear search with recursion, returning boolean or index, and collecting all matching indices while exploring parameter versus return value approaches.
Master recursion with array questions by exploring how multiple list references refer to the same object, how return values propagate, and how base conditions end calls, with pen-and-paper debugging tips.
Explore recursion fundamentals, including base and recursive cases and the call stack. See how these concepts power dynamic programming, factorials, Fibonacci, and classic data structures problems.
Explore recursion through pattern questions, and sharpen sorting techniques with bubble sort and selection sort as part of Java DSA interview prep.
Master quick sort using recursion with theory, complexity analysis, and implementation in Java, as part of comprehensive DSA and interview preparation.
Explore recursion patterns for subsets and subsequences in string questions, including removing characters and skipping substrings, and apply these techniques to build foundational DSA skills.
Explain backtracking in maze problems using recursion to generate all paths with down and right moves. Cover base conditions, path printing, and optional diagonals and obstacles.
Master recursion techniques through Google and Amazon interview questions, dice throw challenges, and phone letter combinations, aligned with DSA and LeetCode practice.
Explore singly, doubly, and circular linked lists with theory, code, and implementation, covering insert at last, insert at a specific index, delete operations, and node retrieval in Java.
Explore core linked list concepts in Java: understand node structure, head traversal, and how singly and doubly linked lists enable forward and backward navigation, including insert and display operations.
Master singly, doubly, and circular linked lists through theory and code, and implement practical solutions for interviews and LeetCode challenges.
“This course contains the use of artificial intelligence.” Master Java, Data Structures & Algorithms, and LeetCode problem-solving in one complete, end-to-end program designed to help you crack product-based company interviews.
This course takes you from Java fundamentals to advanced DSA concepts, ensuring you build a strong problem-solving mindset that top tech companies look for. You’ll not only learn how algorithms work, but when and why to apply them in real interview scenarios.
Starting with core Java, you’ll gain a deep understanding of object-oriented programming, memory management, and performance considerations. You’ll then move into Data Structures such as Arrays, Strings, Linked Lists, Stacks, Queues, Trees, Heaps, Hashing, Graphs, and Tries, followed by Algorithms including Recursion, Sorting, Searching, Greedy, Backtracking, Divide & Conquer, Dynamic Programming, and Graph algorithms.
Every concept is reinforced with LeetCode-style problems, multiple approaches, and time & space complexity analysis. You’ll learn how to optimize brute-force solutions into efficient, interview-ready code.
The course also includes FAANG-pattern-based interview preparation, covering frequently asked problem types, coding round strategies, and common pitfalls. Mock interview questions and real-world problem breakdowns will help you think clearly under pressure. Alongside problem solving, you’ll get interview preparation strategies, common pitfalls, and mock interview-style questions to boost your confidence. By the end of this course, you won’t just solve problems—you’ll think like an interviewer and perform like a top candidate.