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Grow Grid Live Track • Guided Industrial Training

Data Structures & Algorithms

Master core computational thinking, algorithm optimization, dynamic programming, and advanced graph theory to crack SDE coding interviews and write scalable code.

Duration: 8–12 Weeks (Hybrid) Level: Beginner → Advanced Mode: Recorded + Project Centric

Internship Vision

Computational Thinking

Build strong logic and master asymptotic time-space complexity optimization.

Core Data Structures

Master linear & non-linear structures, from linked lists to self-balancing trees.

Advanced Algorithms

Gain expertise in Dynamic Programming, Graph Pathfinding, and Greedy heuristics.

Interview Preparedness

Solve coding platform challenges under constraints and build production GitHub repos.

Competencies

Core Learning Highlights

Algorithm Design & Complexity Analysis
Arrays, Strings & Sorting Optimization
Linked Lists, Stacks & Queues
Trees, BST & Self-Balancing Structures
Graph Algorithms & Pathfinding
Dynamic Programming & Optimization
Greedy Algorithms & Decision Heuristics
System Design Basics using DSA
Coding Interview Patterns & Whiteboarding
Memory Management & Pointer Manipulation
Backtracking & Constraint Satisfaction
Production-Grade Code Profiling
Curriculum Roadmap

Phase-Wise Learning Journey

Key Topics Covered

  • Programming Foundations & Asymptotic Complexity Analysis (Big-O, Big-Ω, Big-Θ)
  • Arrays, Multi-Dimensional Arrays & Optimized Searching/Sorting Algorithms
  • Linear Data Structures: Singly, Doubly & Circular Linked Lists
  • Stacks, Queues, Deques & Monotonic Stack Patterns
  • Recursion Mechanics, Call Stack Analysis & Backtracking Frameworks

Hands-On Projects

Mini Project 1: Algorithm Performance Analyzer & Benchmark Engine

Develop a execution time and memory profiling tool to benchmark sorting/searching algorithms under varying time complexities.

Mini Project 2: Stack-Based Expression Evaluator & N-Queens Solver

Build a mathematical expression parser using Shunting-Yard algorithm and an interactive recursive backtrack puzzle solver.

Coding Platforms & Toolkit

Master coding environments, competitive programming platforms, and debugging tools.

C++PythonVS CodeGitHubLeetCodeHackerRankGDB DebuggerValgrind
Capstone Portfolio

Real-World Software Capstones

Graph Algorithms & Shortest Path

Route Optimization & Map Navigation System

Build a high-performance routing service utilizing Dijkstra's and A* pathfinding algorithms with real-time graph node re-weighting.

System Design & Memory Allocation

High-Throughput LRU Cache & Rate Limiter

Implement a low-latency thread-safe caching engine combined with a Token Bucket rate limiter using doubly-linked lists and hash maps.

Dynamic Programming & Greedy Solutions

Dynamic Resource Allocation & Portfolio Optimizer

Develop a multi-constraint resource allocation tool for cloud compute workloads using DP tabulation techniques.

Advanced Data Structures & Capstone

Graph-Based Content Recommendation Engine

Architect a scalable recommendation engine using bipartite graph matching and priority queue rankings for custom content delivery.

Career Readiness

Program Learning Outcomes

Master DSA concepts required to clear technical rounds at top tech companies
Solve complex problems on LeetCode & HackerRank with optimal time/space complexity
Apply foundational DSA structures to real-world software applications and systems
Write highly efficient, clean, scalable, and memory-safe code
Gain strong confidence in problem-solving under strict interview time constraints
Showcase a production-ready developer portfolio of software projects on GitHub