LIVE BATCH · OCTOBER 2026Taught in HinglishBeginner friendly
Learn live. Code together. Ask questions.
STAR 4.0 – Placement-Oriented DSA Program
From Java basics, OOP and Collections to Arrays, Strings, Linked Lists, Stacks, Queues, Trees, Graphs, Recursion and Dynamic Programming. Go further with Low-Level Design, SOLID principles, Design Patterns and High-Level System Design covering databases, caching, load balancing and message queues. Prepare through 300+ practice problems, system design case studies, resume guidance and mock interviews—all through live classes in Hinglish.
300+ Practice problemsJava From the basicsLLD + HLD System design
What You Will Learn
Java, DSA and system design topics taught across the roadmap
Java foundations
- Programming fundamentals, control flow and methods
- OOP, interfaces and the Java Collection Framework
Core data structures
- Arrays, strings, linked lists, stacks and queues
- Searching, sorting and time and space complexity
Advanced DSA
- Recursion, backtracking, trees, heaps and hashing
- Graph algorithms and dynamic programming
Low-level design
- OOP, SOLID, DRY, KISS, YAGNI, cohesion and coupling
- Creational, structural and behavioral design patterns in Java
- Parking Lot, BookMyShow, Vending Machine and Elevator designs in Java
High-level system design
- Networking, APIs, capacity estimation and scaling fundamentals
- Databases, caching, load balancing, queues, reliability and security
- URL shortener, rate limiter, notifications and ticket booking
Interview preparation
- 300+ practice problems and problem-solving strategies
- Resume guidance, mock interviews and architecture discussions
Course Content
A complete roadmap from Java basics to DSA and system design interviews
Programming, OOP, methods and collections.
Core data structures, recursion, graphs and dynamic programming.
Low-level design, distributed systems and architecture case studies.
Practice, resume preparation, mock interviews and clear explanations.
- Introduction to Programming with Java
- Setting up the development environment (JDK, IDE)
- Variables & Data Types (Primitive & Reference)
- Operators (Arithmetic, Relational, Logical)
- Type Casting & Conversion
- Coding exercises: Basic operations & calculations
- Conditional Statements (if-else, switch-case)
- Loops (for, while, do-while, for-each)
- Pattern printing problems
- Functions & Methods (Declaration, Parameters, Return)
- Method Overloading
- Coding exercises: Control flow problems
- Introduction to OOP concepts
- Classes and Objects
- Inheritance (IS-A relationship)
- Encapsulation (Access modifiers)
- Polymorphism (Method overriding)
- Abstraction (Abstract classes & Interfaces)
- Coding exercises: OOP implementation
- Collection Framework Overview
- List Interface (ArrayList, LinkedList)
- Set Interface (HashSet, TreeSet)
- Queue & Deque
- Map Interface (HashMap, TreeMap)
- Iterators and Enhanced For Loop
- Monthly Assessment: Basic Java Programming
- Introduction to Time & Space Complexity
- One-dimensional Arrays (Operations, Traversal)
- Multi-dimensional Arrays (Matrix operations)
- String manipulation techniques
- Common array & string problems
- Sliding window technique
- Coding exercises: Array & String problems
- Stack data structure (LIFO principle)
- Stack implementation using arrays & linked lists
- Stack applications (Parenthesis matching, Expression evaluation)
- Queue data structure (FIFO principle)
- Queue implementation using arrays & linked lists
- Circular Queue & Priority Queue
- Coding exercises: Stack & Queue problems
- Introduction to Linked Lists
- Singly Linked List (Implementation & Operations)
- Doubly Linked List
- Circular Linked List
- Common linked list operations (Insertion, Deletion, Traversal)
- Advanced linked list problems (Cycle detection, Reverse)
- Coding exercises: Linked List problems
- Linear Search & Binary Search
- Bubble Sort, Selection Sort, Insertion Sort
- Merge Sort algorithm
- Quick Sort algorithm
- Counting Sort & Radix Sort
- Time & Space complexity analysis of algorithms
- Monthly Assessment: Data Structures (Part 1)
- Recursion fundamentals
- Recursion vs Iteration
- Classic recursion problems (Factorial, Fibonacci)
- Introduction to Backtracking
- N-Queens problem
- Sudoku solver
- Combination & Permutation problems
- Tree data structure concepts
- Binary Tree implementation
- Binary Tree traversals (In-order, Pre-order, Post-order)
- Level order traversal
- Binary Search Tree implementation & operations
- BST problems (Insertion, Deletion, Searching)
- Balanced Binary Search Trees
- Heap data structure
- Min Heap & Max Heap implementation
- Heapify algorithm
- Heap Sort
- Priority Queue implementation using Heap
- Applications of Priority Queue
- Coding exercises: Heap problems
- Hashing concepts & Hash functions
- Collision resolution techniques
- HashMap implementation
- HashSet implementation
- Common hashing problems
- Applications of hashing (Two Sum, LRU Cache)
- Monthly Assessment: Advanced Data Structures
- Graph concepts & Terminology
- Graph representation (Adjacency Matrix & Adjacency List)
- Graph Traversals (BFS & DFS)
- Topological Sorting
- Shortest Path Algorithms (Dijkstra's, Bellman-Ford)
- Minimum Spanning Tree (Prim's, Kruskal's)
- Coding exercises: Graph problems
- Introduction to Dynamic Programming
- Memoization & Tabulation techniques
- Classic DP problems (Fibonacci, Knapsack)
- Longest Common Subsequence
- Longest Increasing Subsequence
- Matrix Chain Multiplication
- Coding exercises: DP problems
- Introduction to system design: HLD vs LLD and the design interview process
- Gathering functional and non-functional requirements; defining scope and constraints
- Client-server architecture and the lifecycle of a web request
- Networking basics: IP addresses, ports, DNS, TCP, HTTP and HTTPS
- API basics: REST, request methods, status codes, pagination and versioning
- Synchronous vs asynchronous communication; polling, long polling and WebSockets
- Latency, throughput, bandwidth, availability and reliability
- Back-of-the-envelope estimation: traffic, storage and bandwidth requirements
- Vertical vs horizontal scaling; identifying bottlenecks
- Stateful vs stateless services, sessions and cookies
- Monolithic vs microservices architecture: basic concepts and trade-offs
- Drawing architecture diagrams and documenting design decisions
- SOLID: Liskov Substitution, Interface Segregation and Dependency Inversion
- DRY, KISS and YAGNI principles with Java examples
- Programming to interfaces and dependency injection basics
- UML class and sequence diagrams; modelling interactions and object lifecycles
- Creational patterns: Singleton, Factory Method, Abstract Factory, Builder and Prototype
- Structural patterns: Adapter, Decorator, Facade, Proxy and Composite
- Behavioral patterns: Strategy, Observer, State, Command and Template Method
- Choosing a design pattern: use cases, trade-offs and avoiding overengineering
- Refactoring tightly coupled code into testable, maintainable components
- Parking Lot LLD: vehicle types, parking spots, allocation strategies, tickets and fee calculation
- BookMyShow LLD: movies, theatres, screens, shows, seat selection, booking states and payment interfaces
- Vending Machine LLD: inventory, product selection, payments, change and state transitions using the State pattern
- Elevator LLD: requests, scheduling strategies, elevator states and controller responsibilities
- Practice class and sequence diagrams, Java implementations and edge cases for each LLD case study
- Load balancing basics: round robin, least connections and health checks
- Forward proxies, reverse proxies and API gateways
- SQL vs NoSQL: relational, key-value, document and wide-column databases
- Data modelling basics: schemas, primary keys, relationships and normalization
- Database indexes, query performance and read-heavy vs write-heavy workloads
- Transactions, ACID properties and concurrency basics
- Replication, read replicas and failover
- Partitioning and sharding: choosing shard keys and handling hot partitions
- Caching fundamentals: cache-aside, write-through, TTLs and cache invalidation
- Content Delivery Networks (CDNs), static content and edge caching
- File and object storage basics; storing metadata separately from files
- Message queues and publish-subscribe: producers, consumers and background workers
- Timeouts, retries, exponential backoff and dead-letter queues
- Idempotency and handling duplicate requests or messages
- Consistency models and CAP theorem: understanding trade-offs
- Rate limiting basics: token bucket and sliding window
- Reliability basics: redundancy, single points of failure and graceful degradation
- Observability basics: logs, metrics, tracing and alerts
- Authentication vs authorization, HTTPS and basic API security
- Putting it together: compare architecture choices for cost, scale and reliability
- Design a URL shortener: keys, storage and caching
- Design a rate limiter: token bucket and sliding window
- Design a notification service: queues, delivery and retries
- Design a ticket booking system: seat locks and concurrency
- Present architecture, discuss bottlenecks and explain trade-offs
- Resume building for tech roles
- Top DSA interview questions
- Mock interview sessions with personalized feedback
- Problem-solving strategies for interviews
- Behavioral interview questions
- Time management during coding interviews
- Final Assessment & Course Completion
Career Preparation
Practice with structure, support and feedback
Work through handpicked questions, assignments and quizzes to build confident problem-solving habits.
Ask questions during classes and doubt sessions, then revisit recordings for revision.
Discuss requirements, design choices, bottlenecks and trade-offs through system design case studies.
Prepare your resume and practice explaining your coding approaches and design decisions in mock interviews.
FAQs
Frequently Asked Questions
No. The course begins with programming fundamentals, Java and OOP before progressing to data structures and algorithms.
System design joins the DSA learning path: foundations, low-level design in Java, high-level architecture and guided interview case studies.
The batch starts on 12 October 2026 and runs for 4–5 months. Classes run on Monday, Wednesday and Friday, from 8:00 to 9:30 PM IST.
Classes are taught in Hinglish. Java is the programming language used for DSA and low-level design.
The launch price is ₹4,590, reduced from ₹9,999. Use the Enroll Now button to register through the payment page.
Classes are live, with recordings for revision. Doubt-clearing sessions help you work through concepts and practice problems.