Placement 360 – The Complete Tech Interview Program
Placement 360 - The Most Comprehensive Tech Interview Program
- Master Programming, DSA, Low-Level Design, SQL, Core CS Subjects, and Aptitude
- Learn through premium self-paced video lessons, coding problems, and mock assessments
- Build strong coding, problem-solving, software design, and interview skills
- Become interview-ready for top tech companies like Google, Amazon, Microsoft, Adobe, and Flipkart
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Course Overview
2 Years Course Access
Get 2 years of access to this Premium Placement course
Premium Problems Access
Solve company-tagged premium problems with detailed editorials
Developers AI Toolkit
Work with the latest AI Tools & Technologies
Skills & Technologies You'll Learn
Develop the following technical and problem-solving skills required to crack coding interviews at top product companies.
Core Programming Language (C++, Java or Python)
Advanced Programming Libraries
Basics of DSA
Advanced DSA
Premium Problems with Editorials
Operating System
Computer Networks
Database Management System
SQL
OOP (Learn & Practice) 
Low Level Design
Aptitude & Reasoning
Resume Building
Premium Learning Benefits
Accelerate your career with industry-recognized certification, 24x7 AI support, and monthly soft skills sessions.
GeeksforGeeks CertificationReceive an official GeeksforGeeks Certification upon successful course completion to validate your skills, strengthen your resume, and showcase your expertise to recruiters and top technology companies.
24x7 AI Doubt SupportAccelerate your learning with instant AI-powered support for coding, debugging, concept explanations, and technical guidance. Get personalized assistance anytime to stay productive and continue learning without interruptions.
Monthly Live Soft Skills SessionsAttend two live soft skills sessions every month focused on communication, resume building, interview strategies, workplace etiquette, and professional development to help you confidently succeed in placements.
Course Syllabus
Programming Language
Choose the programming language that best aligns with your goals and build a strong foundation in software development through structured learning and hands-on coding.
- C++: Master programming fundamentals, object-oriented programming, STL, memory management, and efficient problem-solving techniques.
- Java: Learn core Java, object-oriented programming, collections, exception handling, multithreading, and modern application development concepts.
- Python: Build a strong programming foundation by mastering Python syntax, data structures, functions, object-oriented programming, and automation with clean, readable code.
Data Structures & Algorithms
Build a strong foundation in Data Structures and Algorithms by mastering core concepts, problem-solving techniques, and algorithm optimization.
Topics Covered
- Analysis of Algorithms: Time & Space Complexity, Asymptotic Analysis (Big O, Big Theta, Big Omega)
- Mathematics: Prime Numbers, GCD, LCM, Modular Arithmetic, Sieve of Eratosthenes
- Bit Manipulation: Bitwise Operators, Bit Masking, XOR Tricks, Binary Operations
- Recursion: Recursive Thinking, Tail Recursion, Tower of Hanoi, Josephus Problem
- Arrays: Prefix Sum, Sliding Window, Two Pointers, Kadane's Algorithm
- Strings: Pattern Matching, KMP, Rabin-Karp, String Hashing
- Searching & Sorting: Binary Search, Merge Sort, Quick Sort, Heap Sort
- Hashing: Hash Maps, Frequency Counting, Subarray & Pair Problems
- Linked Lists: Singly, Doubly & Circular Lists, Reversal, Loop Detection
- Stacks, Queues & Deques: Balanced Parentheses, Stock Span, Sliding Window, Queue Applications
Advanced Data Structures & Algorithms
Master advanced data structures and algorithmic techniques used to solve complex computational problems efficiently.
Topics Covered
- Trees & BST: Tree Traversals, LCA, Serialization, BST Operations, Balanced Trees
- Heaps: Min/Max Heap, Priority Queue, Heap Sort, Top-K Problems
- Graphs: BFS, DFS, Shortest Paths, MST, Topological Sort, Union-Find
- Greedy Algorithms: Activity Selection, Fractional Knapsack, Job Scheduling
- Backtracking: N-Queens, Sudoku Solver, Rat in a Maze, Permutations
- Dynamic Programming: Memoization, Tabulation, LCS, LIS, Coin Change, DP on Trees
- Trie: Prefix Search, Auto-complete, Word Dictionary, String Queries
- Segment Trees & Binary Indexed Trees: Range Queries, Lazy Propagation, Fenwick Tree
- Disjoint Set Union (DSU): Union-Find, Path Compression, Cycle Detection, Kruskal's Algorithm
Object-Oriented Programming & Low-Level Design
Master the fundamentals of software design by learning object-oriented principles, design patterns, and low-level system design used in modern software development.
Topics Covered
- Object-Oriented Design (OOD): OOAD concepts, UML Diagrams, Use Case, Class, Sequence, and Activity Diagrams.
- SOLID Principles: Build clean, scalable, maintainable, and loosely coupled software using the five SOLID design principles.
- Design Patterns: Learn Creational, Structural, and Behavioral Design Patterns including Factory, Singleton, Builder, Adapter, Facade, Observer, Strategy, and more.
- Low-Level Design (LLD): Design real-world systems like Movie Ticket Booking, Car Parking Lot, and Elevator System using industry-standard design practices.
Develop practical problem-solving skills required for software engineering interviews.
Pricing
