← Explore all cohorts

COHORTLAB / BEGINNER / IN PLANNING

DSA FoundationLearn it. Build it. Understand it.

Data structures, algorithms & interview practice

1 month (4 weeks)8 live sessions100 planned seats

01 / THE IDEA

Connect the intuition
with the implementation.

Build a foundation in data structures and problem solving across 8 weekend sessions, with an introduction to system design and interview preparation. The next DSA batch is being planned; register your interest through the inquiry form.

RamanandLearn with RamanandMeet your instructor ↗

02 / YOUR STARTING POINT

Is this your next step?

  • Beginners
  • College students
  • Early learners in CS/AI
  • Students preparing for interviews

LET’S TALK

What would you like to know?

No account needed. Ask about a batch, the course, or a college-club session.

Your details and question will be saved so our team can respond to this inquiry.

03 / WHAT YOU’LL TAKE AWAY

Skills you can put into practice.

  1. 01

    Understand core data structures

  2. 02

    Solve basic algorithmic problems

  3. 03

    Understand system design fundamentals

  4. 04

    Clarity on interview preparation

  5. 05

    Readiness to transition into ML

04 / THE LEARNING PATH

8 sessions. Connected ideas.

Open a session to explore what we’ll cover.

01SESSION 1Arrays, Strings & Linked Lists
  • Arrays: traversal, insertion, deletion
  • Strings: basic operations
  • Linked Lists: structure & operations
  • Problems: Reverse array, Palindrome check
02SESSION 2Recursion + Trees
  • Recursion basics
  • Binary trees
  • Tree traversal (DFS)
  • Problems: Factorial, Tree height
03SESSION 3Graphs + BFS/DFS
  • Graph representation
  • BFS vs DFS
  • Connected components
  • Problems: Cycle detection, Shortest path
04SESSION 4Patterns + DP Introduction
  • Sliding window
  • Two pointers
  • Intro to Dynamic Programming
  • Problems: Fibonacci (memoization), Basic DP examples
05SESSION 5System Design Fundamentals
  • Client-server model
  • APIs and databases
  • Latency and scalability
06SESSION 6System Components
  • Load balancer
  • Cache
  • Message queues
  • CAP theorem
07SESSION 7Interview Preparation
  • Resume building
  • DSA strategy
  • Behavioral questions (STAR method)
  • Mock interview
08SESSION 8Discussion + Roadmap
  • Doubt clearing session
  • Common mistakes
  • Career paths
  • Introduction to ML Cohort

LET’S FIGURE IT OUT TOGETHER

Still have a question?

Ask about the course, prerequisites, or the next batch.

LET’S TALK

What would you like to know?

No account needed. Ask about a batch, the course, or a college-club session.

Your details and question will be saved so our team can respond to this inquiry.