Learn Java programming from scratch and master Data Structures & Algorithms step by step.

Designed for beginners aiming to crack coding interviews and land top tech roles.

The DSA with Java – Beginner to Advanced Track is a structured program designed to help you build strong programming fundamentals using Java and master core Data Structures & Algorithms.


From basic syntax and object-oriented programming to advanced recursion, backtracking, trees, and graphs, you'll solve real-world coding problems step by step with clear explanations.


Build your logic, create a strong coding portfolio, and gain the confidence to crack top tech roles in product-based companies.


What you'll learn

This curriculum designed by Industry expert for you to become a next industry expert. Here you will not only learn, you will implement your learnings in real time projects.

Java Fundamentals Kickstart
2 Weeks

Get started with Java from scratch! This section lays the foundation for Java programming with syntax, variables, loops, and functions — everything you need to start building logic confidently.

Core Java Basics:

Setting up Java & IntelliJ

Data Types & Variables

Operators and Expressions

Conditionals (if, else, switch)

Loops (for, while, do-while)

Functions & Scope

Introduction to Arrays

Java Input/Output:

Taking Input with Scanner

Printing Output with System.out

By the end of this section, you'll be comfortable writing programs using basic Java constructs and ready to dive deeper into object-oriented concepts.

Java OOP Concepts & Advanced Features
2 Weeks

Learn how Java truly shines with Object-Oriented Programming. This section will help you think in terms of classes and objects — a must for writing clean, reusable, and scalable code.

OOP Principles in Java:

Classes & Objects

Constructors & Overloading

this & static keywords

Encapsulation & Access Modifiers

Inheritance & Method Overriding

Polymorphism

Abstraction & Interfaces

Advanced OOP Features:

final & super Keywords

Wrapper Classes

Object Class & toString()

equals() & hashCode()

With this module, you'll gain real fluency in OOP, giving you a powerful edge in problem-solving and system design.

Data Structures in Java
4 Weeks

Learn how to implement and use all major data structures in Java. This section helps you understand the logic behind each structure and when to apply them for optimal performance in real-world applications and coding interviews.

Linear Data Structures:

Arrays and ArrayLists

Linked Lists (Singly & Doubly)

Stacks (with Array & LinkedList)

Queues and Deques

Priority Queues & Heaps

Non-linear Data Structures:

Trees (Binary, BST, AVL)

Graphs (Directed & Undirected)

Hash Tables & HashMaps

Tries (Prefix Trees)

Sets and HashSets

Real-world Applications:

Use cases of each structure

Time and Space Complexity

Data Structures in Java Collections Framework

By the end of this module, you’ll be able to build efficient programs using core data structures and confidently tackle DSA problems in interviews.

Searching & Sorting Algorithms
3 Weeks

Strengthen your problem-solving skills by mastering core searching and sorting algorithms. Learn the logic, time complexities, and where to apply each algorithm in real-world coding problems and interviews.

Searching Algorithms:

Linear Search

Binary Search (Iterative & Recursive)

Ternary Search

Exponential Search

Sorting Algorithms:

Bubble Sort

Selection Sort

Insertion Sort

Merge Sort

Quick Sort

Heap Sort

Bonus Topics:

Sorting Stability & Use Cases

Time & Space Trade-offs

Practical Performance Comparison

By completing this section, you'll gain the ability to solve complex array and list-based problems using optimized algorithms with deep understanding.

Recursion & Backtracking
2 Weeks

This section focuses on mastering recursion and backtracking — essential concepts for solving complex problems by breaking them into smaller subproblems and exploring all possible solutions.

Recursion Basics:

Understanding Recursion

Base Case & Recursive Case

Tail Recursion

Recursion Tree & Time Complexity

Classic Recursive Problems:

Factorial, Fibonacci, Power

Sum of Digits / Array

Palindrome Check

Binary Search with Recursion

Backtracking Problems:

N-Queens Problem

Sudoku Solver

Rat in a Maze

Subset & Permutation Generation

Word Search in Matrix

By mastering recursion and backtracking, you’ll be able to tackle problems that require exploring multiple paths, making this a powerful toolset for competitive coding and interviews.

Dynamic Programming
4 Weeks

This section will help you master Dynamic Programming (DP), one of the most important techniques for solving optimization and overlapping subproblem challenges.

Introduction to DP:

What is Dynamic Programming?

Memoization vs Tabulation

Top-down vs Bottom-up Approach

When to Use DP

1D Dynamic Programming:

Fibonacci Series with DP

Climbing Stairs

House Robber

Minimum Steps to 1

2D Dynamic Programming:

Longest Common Subsequence (LCS)

Longest Palindromic Subsequence

Edit Distance

Matrix Path Sum Problems

Knapsack & Variants:

0/1 Knapsack

Unbounded Knapsack

Subset Sum

Partition Equal Subset

By the end of this section, you will be able to break down complex problems into optimal subproblems and solve them efficiently using dynamic programming techniques.

Advanced Algorithms
2 Weeks

Dive deeper into the world of algorithms with this section focused on graph theory, greedy algorithms, and more advanced problem-solving strategies.

Graph Algorithms:

Graph Representations (Adjacency List/Matrix)

Breadth-First Search (BFS)

Depth-First Search (DFS)

Topological Sort

Cycle Detection

Greedy Algorithms:

Activity Selection

Job Sequencing

Huffman Encoding

Fractional Knapsack

Shortest Path & MST:

Dijkstra’s Algorithm

Bellman-Ford Algorithm

Floyd-Warshall Algorithm

Prim’s & Kruskal’s MST

This section equips you to tackle real-world scenarios involving networks, paths, and optimal decisions — a must for competitive programming and interviews.

Interview Preparation & Problem Solving
2 Weeks

In this final section, you'll focus on real-world coding problems, mock interviews, and mastering communication and optimization skills for technical interviews.

Problem Solving Practice:

Daily LeetCode Challenges (Easy to Hard)

Patterns in Problems (Sliding Window, Two Pointers)

Mock Tests & Timed Practice

Debugging & Optimization Techniques

System Design Basics:

Intro to System Design for Beginners

Design Patterns Overview

High-Level Design Examples (URL Shortener, Cache)

Interview Readiness:

Behavioral Interview Questions

Resume Projects Review

Tips to Communicate Thinking Process

Mock Interviews & Feedback Sessions

By the end of this section, you’ll feel confident tackling coding rounds, technical interviews, and articulating your thought process clearly.


Program Fees

7,500

(incl. taxes)

If you will join in a group, complete group will get discount.

You can pay your fee in easy installment's. For more details you can connect with our team.


Meet Your Instructors

You will learn with industry expertes.

Prateek Mishra

Prateek Mishra

Sr. Software Engineer
Prateek Mishra

About Your Mentor

Meet our highly experienced and dedicated manager. Having trained 5K+ students and conducted 200+ sessions in colleges. With a passion for teaching and a knack for inspiring students, he ensures personalized guidance for every individual.


What You Could Become

After completing this course, you’ll be confident in solving real-world coding problems, building logic from scratch, and tackling 300+ DSA questions commonly asked in tech interviews. Whether it’s Arrays, Linked Lists, Trees, or complex algorithms, you’ll be able to approach every problem with clarity and confidence — fully prepared for interviews at top companies.

Java Developer

Junior Software Developer

And many more...

Frequently Asked Questions

What software and tools will I need for the course?

You will need a computer with an internet connection and a code editor. We will guide you on how to set up the necessary software and tools during the course.

How long is the course, and what is the learning format?

The course duration can vary depending on the format chosen, such as full-time, part-time, or online. Typically, the course is conducted over a period of weeks or months with a specified number of hours per week.

Will I receive a certificate upon completing the course?

Yes, upon successful completion of the course, you will receive a certificate that demonstrates your proficiency in this course

Is the course self-paced or instructor-led?

The course is typically instructor-led, with structured lessons and hands-on exercises. However, the specific format may vary depending on the learning platform or institution offering the course.

Can I ask questions and seek help during the course?

Absolutely! The course usually includes opportunities to interact with instructors and fellow learners through discussion forums, chat platforms, or live sessions. You can ask questions, seek clarification, and receive guidance throughout your learning journey.

Can I take this course if I am a beginner in this field?

Absolutely! This course is designed to cater to both beginners and experienced developers. We start with the fundamentals and gradually progress to more advanced topics.