Scaler Academy (Previously InterviewBit Academy) - Accelerate your tech career (2024)

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How to Become a Great Software Developer

By Anshuman Singh

Co-Founder at Scaler Academy

3rd Jul 2024

07:00 PM - 09:00 PM

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Attend a Free Class to Experience The Scaler Data Science Program

By Srikant Varma Chekuri

Instructor at Scaler Data Science

1st Jul 2024

07:00 PM - 09:00 PM

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By Srikant Varma Chekuri

Instructor at Scaler Data Science

6th Jul 2024

07:00 PM - 09:00 PM

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A program for engineers to master Problem Solving & System Design

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Structured, industry vetted curriculum

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Live classes by faculty who have been there, done that

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Practical experience through real-life projects

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Regular 1:1 mentorship from industry veterans

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Career support via a dedicated recruitment team, alumni network, etc.

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Aspirational peer group of 2,000+ Scaler students & alumni

We have designed a flexible program for you

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Missed a class?

Watch the recording later, with teaching assistants available to solve your doubts

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Work / family needs time?

Pause your course and restart a month later with the next batch!

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Jobs & class timings clash?

Decide your ideal class timing together with your classmates

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Want to revise?

Access assignments/notes lifelong and recordings upto 6 months post course completion

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Have doubts?

Get them resolved over text / video by our expert teaching assistants!

Curriculum is designed to make you a solid engineer

Beginner

11.5 Months

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Scaler Academy (Previously InterviewBit Academy) - Accelerate your tech career (27)

Intermediate

11.5 Months

Scaler Academy (Previously InterviewBit Academy) - Accelerate your tech career (28)

Scaler Academy (Previously InterviewBit Academy) - Accelerate your tech career (29)

Advanced

9.5 Months

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Module - 1

Programming Language Fundamentals

2 Months

Module - 2

Data Structures and Algorithms

4.5 Months

Module - 3

SQL

0.5 Month

Module - 4

LLD and Project Specialisations

3.5 Months

Module - 5

System Design Essentials

1 Month

Module - 6

Electives

1-2 Months

2 Months

  • Programming Language Fundamentals

    • Introduction to Java

    • Input Output and Data Types

    • Operators

    • Conditions

    • Loops

    • Pattern Problems

    • Functions

    • 1D and 2D Arrays

    • Strings

    • Memory Management

    • Basic OOP for Problem Solving

4.5 Months

  • Data Structures and Algorithms

    • Time and Space Complexity

    • Array Problem Solving Techniques

    • Bit Manipulation

    • Maths for Problem Solving

    • Recursion

    • Backtracking

    • Sorting

    • Searching(Binary Search)

    • Two Pointers

    • Hashing

    • Strings and Pattern Matching

  • Data Structures

    • Linked Lists

    • Stacks

    • Queues and Deques

    • Trees and BST

    • Tries

    • Heaps

  • Advanced Problem Solving Techniques

    • Greedy

    • Dynamic Programming

    • Graphs

0.5 Months

  • SQL

    • Relational Model

    • CRUD

    • Joins

    • Aggregation

    • Subqueries

    • Views

    • Transactions

    • Indexing

3.5 Months

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Fullstack Engineering

  • HTML, CSS, Javascript

  • Advanced HTML, CSS Case Studies

  • Advanced JS Concepts (OOP and Concurrency) and Popular Interview Questions

  • JS for Web Dev (DOM Manipulation, Event Handling)

  • Design Patterns

  • Git

  • React

  • Redux

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • Deployment

  • Frontend LLD and Machine Coding Case Studies

  • Testing

  • MongoDB

  • NodeJS

  • ExpressJS

  • Backend Architecture

  • Capstone Projects

Or

Backend Engineering

  • OOP

  • Multithreading

  • Adv Lang Concepts and Popular Interview Questions

  • SOLID

  • Design Patterns

  • UML Diagrams

  • Schema Design

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • MVC

  • Backend LLD and Machine Coding Case Studies

  • Unit Testing

  • ORM

  • Deployment

  • Git

  • Spring Boot

  • Project Interview Questions (Spring/Hibernate)

  • Capstone Projects (include advance things like implementing Payment API)

1 Month

  • Introduction to Scale and Scaling Techniques

  • Introduction to Caching Techniques

  • Introduction to SQL and NoSQL Databases

  • Introduction to Event Driven Architecture

  • Introduction to Microservice Architecture

1-2 Months

*A learner can do as many electives as they want, but only after completion of Core Curriculum.

Advanced Software & System Design - 1.5 months

  • Consistent Hashing

  • Caching

  • CAP Theorem

  • Distributed Systems & Databases

  • SQL and NoSQL

  • Scalability

  • Zookeeper + Kafka

  • Location Based Services (S3, Quad Trees)

  • Microservices

  • Case Studies

And/Or

Data Engineering - 2 Months

  • Building efficient Data Processing Systems

  • Advanced SQL

  • Cloud Services - AWS, or GCP

  • Developing ETL pipelines

  • Map-Reduce Framework

  • Big Data

  • Data Warehousing & Modelling

  • OLAP, Dashboarding

  • Workflow Orchestration

  • Logging, and Monitoring

  • MapReduce, HiveQL, Presto

  • Projects

And/Or

DSA for Competitive Programming - 1 Months

  • Combinatorics and Probability

  • Matrix exponentiation

  • Advanced Trees: Segment Tree, k-D Tree

  • Disjoint Set Union

  • Advanced Dynamic Programming

  • Advanced Graphs: Bridges, Articulation point, Network Flow

And/Or

Product Management for Engineers - 1 Month

  • Introduction to Product Management

  • Product Thinking & Product Discovery

  • Product Roadmap & Prioritization

  • Mental Models for Product Managers

  • Product Analytics

  • Hands-on case study & Mixpanel session

  • Delivery & Project Management

  • Practical ways to apply PM lessons as an Engineer

Download Curriculum

Module - 1

DSA: Introduction to Problem Solving

2 Months

Module - 2

DSA: Data Structures and Algorithms

4 Months

Module - 3

SQL

0.5 Month

Module - 4

LLD

2.5 Months

Module - 5

HLD

1.5 Months

Module - 6

Capstone Project

1 Month

Module - 7

Electives

1-2 Months

2 Months

  • Introduction to Problem Solving

    • Introduction to Problem Solving

    • Introduction to Time Complexity Analysis

    • Introduction to Basic Data Structures (1D and 2D Arrays, Strings, Hashmaps, Linked Lists, Trees)

    • Introduction to Maths Problem Solving Patterns (Modular Arithmetic, Powers)

    • Introduction to Bit Manipulation

    • Introduction to Problem Solving Techniques (Prefix, Sliding Windows, Subarrays, Subsets, Subsequences, Sorting, Hashing, Recursion)

    • Basic OOP For Problem Solving

4 Months

  • Data Structures and Algorithms

    • Time and Space Complexity

    • Array Problem Solving Techniques

    • Bit Manipulation

    • Maths for Problem Solving

    • Recursion

    • Backtracking

    • Sorting

    • Searching(Binary Search)

    • Two Pointers

    • Hashing

    • Strings and Pattern Matching

  • Data Structures

    • Linked Lists

    • Stacks

    • Queues and Deques

    • Trees and BST

    • Tries

    • Heaps

  • Advanced Problem Solving Techniques

    • Greedy

    • Dynamic Programming

    • Graphs

0.5 Month

  • SQL

    • Relational Model

    • CRUD

    • Joins

    • Aggregation

    • Subqueries

    • Views

    • Transactions

    • Indexing

2.5 Months

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Backend Development - 2.5 Months

  • OOP

  • Multithreading

  • Adv Lang Concepts and Popular Interview Questions

  • SOLID

  • Design Patterns

  • UML Diagrams

  • Schema Design

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • MVC

  • Backend LLD and Machine Coding Case Studies

Or

Fullstack Development - 2.5 Months

  • HTML, CSS, Javascript

  • Advanced HTML, CSS Case Studies

  • JS for Web Dev (DOM Manipulation, Event Handling)

  • Advanced JS Concepts (OOP and Concurrency) and Popular Interview Questions

  • Frontend Design Patterns

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • Frontend LLD and Machine Coding Case Studies

  • Backend Design

1.5 Months

  • System Design (HLD)

    • Consistent Hashing

    • Caching

    • CAP Theorem

    • Distributed Systems & Databases

    • SQL and NoSQL

    • Scalability

    • Zookeeper + Kafka

    • Location Based Services (S3, Quad Trees)

    • Microservices

    • Case Studies

1 Month

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Backend Development - 1 month

  • Unit Testing

  • ORM

  • Deployment

  • Spring Boot

  • Project Interview Questions (Spring/Hibernate)

  • Capstone Projects (include advance things like implementing Payment API)

Or

Fullstack Development - 1 month

  • Git

  • React

  • Redux

  • Deployment

  • Testing

  • MongoDB

  • NodeJS

  • ExpressJS

  • Capstone Projects

1-2 Months

*A learner can do as many electives as they want, but only after completion of Core Curriculum.

DSA for Competitive Programming - 1 Months

  • Combinatorics and Probability

  • Matrix exponentiation

  • Advanced Trees: Segment Tree, k-D Tree

  • Disjoint Set Union

  • Advanced Dynamic Programming

  • Advanced Graphs: Bridges, Articulation point, Network Flow

And/Or

Product Management for Engineers - 1 Month

  • Introduction to Product Management

  • Product Thinking & Product Discovery

  • Product Roadmap & Prioritization

  • Mental Models for Product Managers

  • Product Analytics

  • Hands-on case study & Mixpanel session

  • Delivery & Project Management

  • Practical ways to apply PM lessons as an Engineer

And/Or

Data Engineering - 2 Months

  • Building efficient Data Processing Systems

  • Advanced SQL

  • Cloud Services - AWS, or GCP

  • Developing ETL pipelines

  • Map-Reduce Framework

  • Big Data

  • Data Warehousing & Modelling

  • OLAP, Dashboarding

  • Workflow Orchestration

  • Logging, and Monitoring

  • MapReduce, HiveQL, Presto

  • Projects

Download Curriculum

Module - 1

DSA: Data Structures and Algorithms

4 Months

Module - 2

SQL

0.5 Month

Module - 3

LLD

2.5 Months

Module - 4

HLD

1.5 Months

Module - 5

Capstone Project

1 Month

Module - 6

Electives

1-2 Months

4 Months

  • Data Structures and Algorithms

    • Time and Space Complexity

    • Array Problem Solving Techniques

    • Bit Manipulation

    • Maths for Problem Solving

    • Recursion

    • Backtracking

    • Sorting

    • Searching(Binary Search)

    • Two Pointers

    • Hashing

    • Strings and Pattern Matching

  • Data Structures

    • Linked Lists

    • Stacks

    • Queues and Deques

    • Trees and BST

    • Tries

    • Heaps

  • Advanced Problem Solving Techniques

    • Greedy

    • Dynamic Programming

    • Graphs

0.5 Month

  • SQL

    • Relational Model

    • CRUD

    • Joins

    • Aggregation

    • Subqueries

    • Views

    • Transactions

    • Indexing

2.5 Months

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Backend Development - 2.5 Months

  • OOP

  • Multithreading

  • Adv Lang Concepts and Popular Interview Questions

  • SOLID

  • Design Patterns

  • UML Diagrams

  • Schema Design

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • MVC

  • Backend LLD and Machine Coding Case Studies

Or

Fullstack Development - 2.5 Months

  • HTML, CSS, Javascript

  • Advanced HTML, CSS Case Studies

  • JS for Web Dev (DOM Manipulation, Event Handling)

  • Advanced JS Concepts (OOP and Concurrency) and Popular Interview Questions

  • Frontend Design Patterns

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • Frontend LLD and Machine Coding Case Studies

  • Backend Design

1.5 Months

  • System Design (HLD)

    • Consistent Hashing

    • Caching

    • CAP Theorem

    • Distributed Systems & Databases

    • SQL and NoSQL

    • Scalability

    • Zookeeper + Kafka

    • Location Based Services (S3, Quad Trees)

    • Microservices

    • Case Studies

1 Month

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Backend Development - 1 month

  • Unit Testing

  • ORM

  • Deployment

  • Git

  • Spring Boot

  • Project Interview Questions (Spring/Hibernate)

  • Capstone Projects (include advance things like implementing Payment API)

Or

Fullstack Development - 1 month

  • Git

  • React

  • Redux

  • Deployment

  • Testing

  • MongoDB

  • NodeJS

  • ExpressJS

  • Capstone Projects

1-2 Months

*A learner can do as many electives as they want, but only after completion of Core Curriculum.

DSA for Competitive Programming - 1 Months

  • Combinatorics and Probability

  • Matrix exponentiation

  • Advanced Trees: Segment Tree, k-D Tree

  • Disjoint Set Union

  • Advanced Dynamic Programming

  • Advanced Graphs: Bridges, Articulation point, Network Flow

And/Or

Product Management for Engineers - 1 Month

  • Introduction to Product Management

  • Product Thinking & Product Discovery

  • Product Roadmap & Prioritization

  • Mental Models for Product Managers

  • Product Analytics

  • Hands-on case study & Mixpanel session

  • Delivery & Project Management

  • Practical ways to apply PM lessons as an Engineer

And/Or

Data Engineering - 2 Months

  • Building efficient Data Processing Systems

  • Advanced SQL

  • Cloud Services - AWS, or GCP

  • Developing ETL pipelines

  • Map-Reduce Framework

  • Big Data

  • Data Warehousing & Modelling

  • OLAP, Dashboarding

  • Workflow Orchestration

  • Logging, and Monitoring

  • MapReduce, HiveQL, Presto

  • Projects

Download Curriculum

2 Months

  • Programming Language Fundamentals

    • Introduction to Java

    • Input Output and Data Types

    • Operators

    • Conditions

    • Loops

    • Pattern Problems

    • Functions

    • 1D and 2D Arrays

    • Strings

    • Memory Management

    • Basic OOP for Problem Solving

4.5 Months

  • Data Structures and Algorithms

    • Time and Space Complexity

    • Array Problem Solving Techniques

    • Bit Manipulation

    • Maths for Problem Solving

    • Recursion

    • Backtracking

    • Sorting

    • Searching(Binary Search)

    • Two Pointers

    • Hashing

    • Strings and Pattern Matching

  • Data Structures

    • Linked Lists

    • Stacks

    • Queues and Deques

    • Trees and BST

    • Tries

    • Heaps

  • Advanced Problem Solving Techniques

    • Greedy

    • Dynamic Programming

    • Graphs

0.5 Months

  • SQL

    • Relational Model

    • CRUD

    • Joins

    • Aggregation

    • Subqueries

    • Views

    • Transactions

    • Indexing

3.5 Months

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Fullstack Engineering

  • HTML, CSS, Javascript

  • Advanced HTML, CSS Case Studies

  • Advanced JS Concepts (OOP and Concurrency) and Popular Interview Questions

  • JS for Web Dev (DOM Manipulation, Event Handling)

  • Design Patterns

  • Git

  • React

  • Redux

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • Deployment

  • Frontend LLD and Machine Coding Case Studies

  • Testing

  • MongoDB

  • NodeJS

  • ExpressJS

  • Backend Architecture

  • Capstone Projects

Or

Backend Engineering

  • OOP

  • Multithreading

  • Adv Lang Concepts and Popular Interview Questions

  • SOLID

  • Design Patterns

  • UML Diagrams

  • Schema Design

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • MVC

  • Backend LLD and Machine Coding Case Studies

  • Unit Testing

  • ORM

  • Deployment

  • Git

  • Spring Boot

  • Project Interview Questions (Spring/Hibernate)

  • Capstone Projects (include advance things like implementing Payment API)

1 Month

  • Introduction to Scale and Scaling Techniques

  • Introduction to Caching Techniques

  • Introduction to SQL and NoSQL Databases

  • Introduction to Event Driven Architecture

  • Introduction to Microservice Architecture

1-2 Months

*A learner can do as many electives as they want, but only after completion of Core Curriculum.

Advanced Software & System Design - 1.5 months

  • Consistent Hashing

  • Caching

  • CAP Theorem

  • Distributed Systems & Databases

  • SQL and NoSQL

  • Scalability

  • Zookeeper + Kafka

  • Location Based Services (S3, Quad Trees)

  • Microservices

  • Case Studies

And/Or

Data Engineering - 2 Months

  • Building efficient Data Processing Systems

  • Advanced SQL

  • Cloud Services - AWS, or GCP

  • Developing ETL pipelines

  • Map-Reduce Framework

  • Big Data

  • Data Warehousing & Modelling

  • OLAP, Dashboarding

  • Workflow Orchestration

  • Logging, and Monitoring

  • MapReduce, HiveQL, Presto

  • Projects

And/Or

DSA for Competitive Programming - 1 Months

  • Combinatorics and Probability

  • Matrix exponentiation

  • Advanced Trees: Segment Tree, k-D Tree

  • Disjoint Set Union

  • Advanced Dynamic Programming

  • Advanced Graphs: Bridges, Articulation point, Network Flow

And/Or

Product Management for Engineers - 1 Month

  • Introduction to Product Management

  • Product Thinking & Product Discovery

  • Product Roadmap & Prioritization

  • Mental Models for Product Managers

  • Product Analytics

  • Hands-on case study & Mixpanel session

  • Delivery & Project Management

  • Practical ways to apply PM lessons as an Engineer

2 Months

  • Introduction to Problem Solving

    • Introduction to Problem Solving

    • Introduction to Time Complexity Analysis

    • Introduction to Basic Data Structures (1D and 2D Arrays, Strings, Hashmaps, Linked Lists, Trees)

    • Introduction to Maths Problem Solving Patterns (Modular Arithmetic, Powers)

    • Introduction to Bit Manipulation

    • Introduction to Problem Solving Techniques (Prefix, Sliding Windows, Subarrays, Subsets, Subsequences, Sorting, Hashing, Recursion)

    • Basic OOP For Problem Solving

4 Months

  • Data Structures and Algorithms

    • Time and Space Complexity

    • Array Problem Solving Techniques

    • Bit Manipulation

    • Maths for Problem Solving

    • Recursion

    • Backtracking

    • Sorting

    • Searching(Binary Search)

    • Two Pointers

    • Hashing

    • Strings and Pattern Matching

  • Data Structures

    • Linked Lists

    • Stacks

    • Queues and Deques

    • Trees and BST

    • Tries

    • Heaps

  • Advanced Problem Solving Techniques

    • Greedy

    • Dynamic Programming

    • Graphs

0.5 Month

  • SQL

    • Relational Model

    • CRUD

    • Joins

    • Aggregation

    • Subqueries

    • Views

    • Transactions

    • Indexing

2.5 Months

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Backend Development - 2.5 Months

  • OOP

  • Multithreading

  • Adv Lang Concepts and Popular Interview Questions

  • SOLID

  • Design Patterns

  • UML Diagrams

  • Schema Design

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • MVC

  • Backend LLD and Machine Coding Case Studies

Or

Fullstack Development - 2.5 Months

  • HTML, CSS, Javascript

  • Advanced HTML, CSS Case Studies

  • JS for Web Dev (DOM Manipulation, Event Handling)

  • Advanced JS Concepts (OOP and Concurrency) and Popular Interview Questions

  • Frontend Design Patterns

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • Frontend LLD and Machine Coding Case Studies

  • Backend Design

1.5 Months

  • System Design (HLD)

    • Consistent Hashing

    • Caching

    • CAP Theorem

    • Distributed Systems & Databases

    • SQL and NoSQL

    • Scalability

    • Zookeeper + Kafka

    • Location Based Services (S3, Quad Trees)

    • Microservices

    • Case Studies

1 Month

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Backend Development - 1 month

  • Unit Testing

  • ORM

  • Deployment

  • Git

  • Spring Boot

  • Project Interview Questions (Spring/Hibernate)

  • Capstone Projects (include advance things like implementing Payment API)

Or

Fullstack Development - 1 month

  • Git

  • React

  • Redux

  • Deployment

  • Testing

  • MongoDB

  • NodeJS

  • ExpressJS

  • Capstone Projects

1-2 Months

*A learner can do as many electives as they want, but only after completion of Core Curriculum.

DSA for Competitive Programming - 1 Months

  • Combinatorics and Probability

  • Matrix exponentiation

  • Advanced Trees: Segment Tree, k-D Tree

  • Disjoint Set Union

  • Advanced Dynamic Programming

  • Advanced Graphs: Bridges, Articulation point, Network Flow

And/Or

Product Management for Engineers - 1 Month

  • Introduction to Product Management

  • Product Thinking & Product Discovery

  • Product Roadmap & Prioritization

  • Mental Models for Product Managers

  • Product Analytics

  • Hands-on case study & Mixpanel session

  • Delivery & Project Management

  • Practical ways to apply PM lessons as an Engineer

And/Or

Data Engineering - 2 Months

  • Building efficient Data Processing Systems

  • Advanced SQL

  • Cloud Services - AWS, or GCP

  • Developing ETL pipelines

  • Map-Reduce Framework

  • Big Data

  • Data Warehousing & Modelling

  • OLAP, Dashboarding

  • Workflow Orchestration

  • Logging, and Monitoring

  • MapReduce, HiveQL, Presto

  • Projects

4 Months

  • Data Structures and Algorithms

    • Time and Space Complexity

    • Array Problem Solving Techniques

    • Bit Manipulation

    • Maths for Problem Solving

    • Recursion

    • Backtracking

    • Sorting

    • Searching(Binary Search)

    • Two Pointers

    • Hashing

    • Strings and Pattern Matching

  • Data Structures

    • Linked Lists

    • Stacks

    • Queues and Deques

    • Trees and BST

    • Tries

    • Heaps

  • Advanced Problem Solving Techniques

    • Greedy

    • Dynamic Programming

    • Graphs

0.5 Month

  • SQL

    • Relational Model

    • CRUD

    • Joins

    • Aggregation

    • Subqueries

    • Views

    • Transactions

    • Indexing

2.5 Months

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Backend Development - 2.5 Months

  • OOP

  • Multithreading

  • Adv Lang Concepts and Popular Interview Questions

  • SOLID

  • Design Patterns

  • UML Diagrams

  • Schema Design

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • MVC

  • Backend LLD and Machine Coding Case Studies

Or

Fullstack Development - 2.5 Months

  • HTML, CSS, Javascript

  • Advanced HTML, CSS Case Studies

  • JS for Web Dev (DOM Manipulation, Event Handling)

  • Advanced JS Concepts (OOP and Concurrency) and Popular Interview Questions

  • Frontend Design Patterns

  • How Internet Works (TCP, UDP, HTTP, Layering Architecture)

  • API Design

  • Frontend LLD and Machine Coding Case Studies

  • Backend Design

1.5 Months

  • System Design (HLD)

    • Consistent Hashing

    • Caching

    • CAP Theorem

    • Distributed Systems & Databases

    • SQL and NoSQL

    • Scalability

    • Zookeeper + Kafka

    • Location Based Services (S3, Quad Trees)

    • Microservices

    • Case Studies

1 Month

*Only 1 Specialisation is allowed per learner. Recorded lectures for the other can be availed via Student Dashboard. At Least 1 Specialisation is mandatory for successful completion of the course.

Backend Development - 1 month

  • Unit Testing

  • ORM

  • Deployment

  • Git

  • Spring Boot

  • Project Interview Questions (Spring/Hibernate)

  • Capstone Projects (include advance things like implementing Payment API)

Or

Fullstack Development - 1 month

  • Git

  • React

  • Redux

  • Deployment

  • Testing

  • MongoDB

  • NodeJS

  • ExpressJS

  • Capstone Projects

1-2 Months

*A learner can do as many electives as they want, but only after completion of Core Curriculum.

DSA for Competitive Programming - 1 Months

  • Combinatorics and Probability

  • Matrix exponentiation

  • Advanced Trees: Segment Tree, k-D Tree

  • Disjoint Set Union

  • Advanced Dynamic Programming

  • Advanced Graphs: Bridges, Articulation point, Network Flow

And/Or

Product Management for Engineers - 1 Month

  • Introduction to Product Management

  • Product Thinking & Product Discovery

  • Product Roadmap & Prioritization

  • Mental Models for Product Managers

  • Product Analytics

  • Hands-on case study & Mixpanel session

  • Delivery & Project Management

  • Practical ways to apply PM lessons as an Engineer

And/Or

Data Engineering - 2 Months

  • Building efficient Data Processing Systems

  • Advanced SQL

  • Cloud Services - AWS, or GCP

  • Developing ETL pipelines

  • Map-Reduce Framework

  • Big Data

  • Data Warehousing & Modelling

  • OLAP, Dashboarding

  • Workflow Orchestration

  • Logging, and Monitoring

  • MapReduce, HiveQL, Presto

  • Projects

Download Curriculum

Discover & connect with Alumni who have walked the same path as you

Frequently searched Tech Giants Service To Product Service To Tech Giants Service to Unicorn Startups 0 To 3 Years Experience 4 To 7 Years Experience

200% hike Ankit Pangasa September 2021 Pre Scaler Adobe ↓ Post Scaler Senior Software Engineer 1 Bhaskar Shaw October 2021 Pre Scaler Accenture ↓ Post Scaler Software Engineer II 112% hike Abinay Bingumalla January 2020 Pre Scaler Reliance Infocomm Limited ↓ Post Scaler Full Stack Engineer 1 Sudhanshu Gera June 2021 Pre Scaler Wipro Limited ↓ Post Scaler Software Engineer III

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Your learning is important. It’s a good idea to go through
reviews of previous students to make an informed decision

1,000+ working professionals have joined the Scaler Academy family!

Scaler exceeded my expectations in a way I had never even thought possible. I expected a single mentor from Scaler, but I ended up getting several people who guided me throughout.

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Scaler lived up to all the expectations and hype I'd heard about it. The mentorship was a standout aspect to me, and the instructors and TAs were helpful and excellent at what they did.

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Scaler played a pivotal role in my journey, as the constant guidance I received and the encouragement that was showered on me helped me learn better. The peer community is constructive, and the mentorship arrangement makes it all a fantastic experience.

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Tarun Malhotra's System Design classes stood out to me in particular, his way of teaching has made me remember him even after nearly 6 months of completing the course.

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The instructors were at the top of their game, and taught us everything on the topic starting from the basics. Both the DSA and System Design classes were top notch!

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The mentorship arrangement and the peer culture has helped me evolve as a coder, and I am genuinely grateful for my association with Scaler.

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What I like best about the Scaler program is that I can find help very quickly. We have to merely raise a help request, and within ten minutes, we receive assistance. Right from my teaching instructors to my peers at Scaler, I found everyone helpful and approachable.

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I wanted some guidance from industry stalwarts, and Scaler's mentorship aspect really surpassed my expectations.Scaler really shines in the field of System Design, which is a must for product companies.

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The instructors made us understand tha it's all about learning. The quality of teaching was something I’d never experienced before. Tarun sir’s teaching and methodology has been the most impactful for me.

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I had joined Scaler mainly for learning. And the one thing that kept me motivated throughout was seeing the hard work all teachers put, taking classes everyday tirelessly late into the night.

Whether it is for upskilling or for a better opportunity,if you commit to this course, the learnings that you take away are worth a lifetime.

Thank you Scaler Instructors for teaching DS Algo to a front-end guy. When I solved a backtracking question in 10-12 minutes, I had them (interviewers) there.

Scaler helped me channel my energy properly, revise things I had learned in college, and learn new things too! Their reputation for being educators and enthusiastic supporters of aspirants who dream big made me join the academy.

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The feedback that we gave in each class was taken seriously, and the instructors improved dynamically in each session. My expectations from Scaler was x, and they delivered 2x. Whatever I thought I would get, Scaler ended up giving me so much more!

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The course is structured in a way so that people who have a good grasp of the fundamentals of programming can better themselves in higher level topics, which are commonly asked in tech interviews.

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Getting insights from these industry insiders helps you unlock the secret codes to the game, which are guaranteed to make you a winner.Scaler Academy fulfilled my every expectation, and to anyone looking to upskill, I'd definitely recommend it!

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The way they taught was the aspect that stood out most to me. Each student was invited to give solutions, and every answer was dissected. No doubt was small enough, and every approach was thought about.

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Sanket Mishra Frontend Developer

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My experience at Scaler Academy gave me a newfound confidence. Scaler was my guide in this journey, and the data-backed methodology helped me achieve my set goal in the given time. The structure was such that I continually received a push to do better.

With Scaler Academy, I found the guide that I needed. Their classes helped restore my faith in my passion and made me feel confident about my abilities. The regularity of the classes made me more responsible and sincere in my learning approach.

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Every aspect of the course was well structured, and gave just what I needed. The instructors taught extremely well, the mentors were helpful and the course was designed keeping every need in mind.

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I was expecting mostly DSA, but apart from that, they taught a lot of math, a ton of problem solving, and a lot of other topics. I was really happy to see, since those are often the ones to be overlooked, but are essential parts of a well rounded approach to tech upskilling.

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Scaler Academy was an excellent opportunity for me to gain the skills that I needed to make it big in the coding world.

Hi Tarun (Scaler instructor) - This is Nikhil from September ‘19 batch. I just wanted to thank you. Your DP, Graph and HLD classes were really helpful, and with all the guidance from Scaler and you, I was able to get offers from Walmart / Groupon / PayTM for SE-3/SDE-2 role. I really wanted to thank you personally, all this was really helpful!

Even though I only had 6 months experience,Media.net considered me on par with someone with at least 1.5 years. I was able to build this kind of knowledge and understanding with help from Scaler Academy.

Our teaching army will make you confident about your fundamentals

Our tutors have built scalable systems and realise the real-life importance of DSA and System Design, not just in interviews but throughout your career

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Anshuman Singh

Ex

  • Co-founder of Scaler Academy and two-time ACM ICPC world finalist.
  • Was one of the founding team members of Facebook Messenger and worked directly with Mark Zuckerberg on product development.
  • Responsible for setting up Facebook's London office, the first Facebook Engineering office outside of the USA
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    Mohit Yadav

    Ex

  • Built the infra to ingest data at 1 Tb/s at Nutanix
  • Built the backend system for Hotstar that now handles 28M concurrent visitors and streams the IPL
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    Ksh*tij Mishra

    Ex

  • Ex-Snapdeal
  • As part of a 2 member SDE team at Snapdeal, managed the entire codebase of Snapdeal Seller Search services, helped Snapdeal move from highest available AWS model to the lowest within 4 months
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    Tarun Malhotra

    Ex

  • Ex-Media.net
  • As Team Lead at Media.net, built the contextual ad-serving systems to handle 7M+ URLs/day, process 12M+ ad keywords
  • Built ML systems that facilitated INR 10+ Cr. of annual revenue
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    Abhimanyu Saxena

    Ex

  • Ex-Fab.com
  • As employee #4 at Fab.com (NYC based ecommerce startup), scaled the company to unicorn status and architected the entire front-end, building a 300+ engineering team
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    Tushar Bisht

    Ex

  • Ex-Facebook
  • As a Software engineer at Facebook US, co-created & scaled the “Nearby Friends” features to 10M DAU
  • Co-founded TownRush and successfully exited to Grofers in 2015 via acquisition
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    Pragy Agarwal

    Ex

  • Ex-Media.net
  • As a Platform Engineer at Media.net, scaled low latency systems with millions of queries per second
  • 16+ years of coding experience across a variety of programming languages & paradigms. Has a keen eye for good coding practices.
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    Siddharth Taneja

    Ex

  • Ex-Sapient, Directi
  • Now front-end lead at IB & Scaler, he understands both service and product-based company environments
  • Has developed the entire full-stack curriculum at Scaler and leads all full-stack engineering classes
  • 2000+ students have rated him on average 4.5 out of 5
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    Utkarsh Gupta

    Ex

  • Ex-Google, Germany
  • One of the highest rated coders from India - 2300 rating (6 stars) on Codechef and 2140 rating (“Master”) on Codeforces
  • Ranked #1 in India in Google HashCode 2019
  • Only 1 of 9 programmers globally to have cleared the Expert Level of Codechef’s “Certified Data Structures and Algorithms Programme” (CCDSAP)
  • Worked in the “Privacy and Data Protection Office” as a Software Engineer in Google Munich, Germany
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    Sundeep Babbur

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    Sundeep Babbur

    Ex Scaler Academy (Previously InterviewBit Academy) - Accelerate your tech career (128)

  • Ex-Urban Piper
  • Intial member of Urban Piper who built a scalable product to support multiple number of clients.
  • Now tech lead of multiple products at Scaler Academy
  • Active contributor in open source projects
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    Sahil Bansal

  • Qualified for ACM ICPC Amritapuri onsite-regionals 3 times in a row
  • Started the coding culture at IIT Jammu, conducted workshops, mentored junior students and assisted as a TA in programming courses
  • As an open source contributor, contributed to Github repositories with more than 300 stars
  • Our experienced mentors help you with your career choices & interviews

    Multiple Career Oriented Sessions & Mock Interviews by Tech Experts. These helped thousands of learners gain first-hand insights & guidance for their respective career trajectories.

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    Gaurav Gupta

  • Currently a Senior Software Engineer at Microsoft IDC
  • Total work experience of 7+ years across Xerox and GlobalLogic
  • His expertise ranges from data structures to system design, JAVA, AWS, Kafka and Android to name a few
  • His mentees admire his timely feedback and the fact that he frequently checks up on them
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    Drishti Agarwal

  • Currently an SDE at Amazon, London and previously at Microsoft IDC and Media.net
  • Skilled in languages like Java, Python, AngularJS, React.js
  • Some of her mentees have been placed in Amazon, Walmart and PlayGames.
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    Harsh*t Varshney

  • Currently with the Expedia Group and was earlier at Snapdeal and Wydr
  • Skilled in various technical concepts like DSA, artificial intelligence & neural networks, DBMS, core java and is also a data processing specialist
  • Some of his mentees have cracked jobs at OLX, ROIIM, and Lido Learning.
  • He has a unique superpower of being able to empathise with mentees and give constructive feedback
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    Neha Nigam

  • Senior Software Engineer at Intuit, with 7+ years of work experience
  • Well versed with data Structures and algorithms, design algorithms, core java and mobile engineering as well
  • Awarded the Bravo Award for outstanding performance in her career
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    Shishir Chandra

  • Career spans from Cisco and Wipro to Inmobi, Apple and now Adobe and hence can related with software engineers of varied backgrounds
  • Currently a Tech Lead at Adobe, he is proficient with both development technologies like Java and Linux to distributed and cloud technologies.
  • His mentees have done well. One has joined Microsoft, and two others are due to join Dehlivery and Salesken soon. His mentees have praised him as an Excellent interviewer who nudges them to give their best
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    Mragank Tolwani

  • Currently an Engineering Manager at ClearTax, he has also worked at Amazon and PayTM
  • Well versed in advanced DBMS, computer networks and network security
  • Some of his mentees are placed at startups like Playgames and LendingKart
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    Shan Mehrotra

  • Currently a Senior Data Engineer with Myntra, with past experience with AIG and MiQ Digital.
  • As a part of the data engineering team, he has worked on some remarkable python-based web services.
  • His proficiency in technical concepts includes Pyspark, AWS, Python, Kafka, Android, and more.
  • Some of his mentees have joined Nova (part of Flock) and Microsoft.
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    Via ScalerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends - the possibilities are endless and our community has something for everyone!

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    A platform loved by hundred thousands of engineers from across the globe, IB helps you learn and practice DSA and System Design through a structured library of real-life interview questions

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    We teach you the basics of some of the most important topics in any rockstar developer’s toolkit, through 1-2 day live classes taken by some of our top Scaler Academy faculty. You can use these especially to get comfortable with our quality and style of teaching!

    Scaler Academy (Previously InterviewBit Academy) - Accelerate your tech career (175) Ask Me Anythings (AMAs)

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    Frequently Asked Questions

    Program

    Scaler Academy offers a structured, flexible and guided learning program for software engineers to accelerate their careers. This program is open for all software engineers irrespective of the #number of years of work experience or their current place of work.

    Our features include:

    1. Industry-vetted curriculum that covers CS Fundamentals and System Design via a project-based approach. It is reverse-engineered by analysing what it takes to be a great engineer
    2. Live classes thrice a week, the timings for which are pre-defined
    3. Tutors who have built scalable systems in the past and understand the real-life importance of DSA and System Design, not just interview-relevant material
    4. Quick & hassle-free doubt resolution from our 100+ Teaching Assistants
    5. Aspirational peer group and access to ScalerChat, our internal communication tool wherein you can collaborate with others on projects, get authentic interview experiences and share job referrals
    6. Flexible program that helps you continue learning despite your super hectic schedule.
    7. Recorded lectures to view later and also allow you to move between batches at NO cost
    8. Career support - we provide job opportunities via our 100+ employer partners, mock interview, and career planning services

    Please visit www.scaler.com/academy for more information.

    Software engineers with any number of years of experience can choose to join Scaler Academy. Applicants currently in college (1st, 2nd, 3rd or final year of college) could consider to join Scaler Edge, our college student focused product. Please visit www.scaler.com/edge for more detail

    No, Scaler does not accept freshers. Only working professionals with a minimum of 1 year of experience are eligible to join. Our program is designed for individuals at all proficiency levels, starting with beginner modules covering essential fundamentals to build a solid foundation.

    Entrance tests are conducted as part of the admission process. Passing the test is a prerequisite for program eligibility, and it also helps in assessing your proficiency.

    Live classes are normally held 2 times a week, with the exact class days and timings being determined by the batch. However, given all learners would be software engineers that are currently working, the classes would be held in the late evening or night on weekdays and any suitable time over the weekends.

    All lectures are recorded and you will have access to the recordings after the lecture is completed.

    The program has a fixed schedule, during which you would attend live-lectures with a dedicated instructor, Teaching Assistant, and personal mentor. 15 hour weekly commitment is required for the duration of the program in order to achieve positive results.

    Yes, Scaler provides certificates upon successful completion of its programs. The Scaler program is in partnership with the National Skill Development Corporation (NSDC), and upon successful completion of the program, learners get an NSDC certificate in addition to the certificate provided by Scaler. These certificates enhance your credibility and demonstrate your skills to employers.

    Please note that certificates are provided only upon completion of Scaler programs such as Scaler Academy, Scaler DevOps, and Scaler Data Science. If you're interested in pursuing a degree program, we recommend exploring Scaler Neovarsity, which offers real-world industry experience through a Master's degree program.

    Yes, Scaler certification is highly valuable. It holds significant recognition in the industry because the certificate is a testament to the completion of an industry-relevant, rigorous, and hands-on training program recognized by leading professionals and employers alike. Additionally, the Scaler program is in partnership with the National Skill Development Corporation (NSDC), further validating its credibility.

    Please note that certificates are provided only upon completion of the Scaler programs like Scaler Academy, Scaler DevOps and Scaler Data Science. If you're interested in pursuing a degree program, we recommend exploring Scaler Neovarsity, which offers real-world industry experience through a Master's degree program.

    Curriculum

    Each Scaler Academy batch (a new batch is launched every month) has three sections - Beginner, Intermediate and Advanced section. All the three sections start at the same time.Applicants are sorted into the three sections based on a written entrance test. The course content does change between the three sections and the course duration is different as well. The curriculum and duration is given below. For more information, please visit www.scaler.com/academy and download our curriculum brochure.

    1. Advanced section -
      • The duration of this section is 31 weeks.
      • Students in this section would be taught: Problem Solving and CS Fundamentals (15 weeks) and System Design with project (15 weeks). Students can choose a specialisation between fullstack and backend engineering during the System Design module in the last 15 weeks.
    2. Intermediate section -
      • The duration of this section is 39 weeks.
      • In addition to all the content that the ‘Advanced section’ students would be taught, students of this section would be taught an additional module of Programming Constructs (8 weeks)
    3. Beginner section -
      • The duration of this section is 47 weeks
      • In addition to all the content that the ‘Advanced section’ students would be taught, students of this section would be taught an additional module of Introduction to Programming (8 weeks)
    4. Please note that the upcoming November batch would not accept applicants for the Beginner section. It would only accept applicants for the Intermediate and Advanced sections.

    Yes, all sections start at the same time but end at different times, depending on the duration of the course for that section. The Advanced section ends in 31 weeks, the Intermediate section ends in 39 weeks and the Beginner section ends in 47 weeks.
    Please note that the upcoming November batch would not accept applicants for the Beginner section. It would only accept applicants for the Intermediate and Advanced sections.

    Your eligibility for the Beginner, Intermediate or Advanced section is decided basis an entrance test.

    Depending on which section you are allotted, the duration of the course could range from 31 weeks to 47 weeks. This translates to 7 months to 11 months.

    Teaching

    Our tutors would teach you the concepts mentioned in the course curriculum and would take live classes 3 times a week. There would be different tutors teaching different topics

    Our tutors have built scalable systems in the past and understand the real-life importance of DSA and System Design, not just interview-relevant material. They have hands-on, real-life experience and don't just have theoretical knowledge. For more detail on our tutors, please visit www.scaler.com/academy

    We have 100+ Teaching Assistants that would solve your doubts in prompt-manner. These doubts could be related to the class content or regarding the assignments.

    Teaching assistants

    Teaching Assistants (TAs) work closely with the tutors to help students with their assignments and homework. They answer students' doubts via chat and video call. You would interact with TA’s regularly outside of the live-class sessions to get more hands-on problem solving experience.

    Teaching Assistants (TAs) mostly come from strong problem-solving backgrounds. They can be from a range of experiences but share a common interest towards coding and teaching alike.

    When a student has a doubt, he/she would raise a “Help Request”. This “Help Request” would be circulated within the peer group first in order to foster a sense of giving back and create a sense of community. In parallel, the Teaching Assistant is also alerted with regards to this “Help Request”. The doubt can then be either clarified via the peer group or via the Teaching Assistants via text or via video call. If a video call is done, the Teaching Assistant can also share his/her screen to resolve the issue and help you understand the concept better. These video calls are done 1:1.

    Entrance test

    The test will comprise of Multiple Choice Questions (MCQs) on the following topics:

    1. Logical reasoning and aptitude
    2. Basic mathematics (topics like permutation and combinations, probability etc.)
    3. Basic time complexity analysis
    4. Questions on figuring out the outputs of small code snippets (in any of C++/Java/Python)

    Yes! We have designed the test so that it can be easily taken on mobile as well. However for best results, we would advise you to take the test in a quiet setting with minimal disruptions.

    No, you do not need any special preparation for this test.
    However, if you would like, you could brush up on simple concepts like arrangement, derangement, and a few simple aptitude questions. For time complexity analysis and code comprehension questions, you could choose to practice questions like :

    1. https://www.interviewbit.com/problems/whilecmpl/
    2. https://www.interviewbit.com/problems/nestedcmpl2/
    3. https://www.interviewbit.com/problems/array2d/
    4. https://www.interviewbit.com/problems/whilecmpl/

    Mentors

    Mentors provide personalized advice on your career. They also help you with mock interviews, help with your resume and provide career advice. Mentors do 1:1 video calls with you for 30-60 mins each for each session. It is advisable to do 2 mentor sessions every month.

    Our mentors mostly work at tier 1 product companies and would be experienced software professionals. For more information, please visit www.scaler.com/mentor

    Based on your profile & preferences you will be alloted the best suitable mentor that matches your background. Post allotment, you can connect with them for queries, sessions, or (if needed) can even opt for a different mentor in the next session.

    We would entertain a request to change a mentor, but a change in mentor is done only on a case-by-case basis.

    Placement support

    We provide three kinds of placement support:
    1) Through our network with hundreds of employer partners, we would arrange for you to have access to job opportunities in order to accelerate your career or change companies.
    2) Our student, tutor and mentor community frequently posts job opportunities from their network as well, via ScalerChat (please visit www.scaler.com/mentor for details)
    3) Preparation assistance via mock interviews, resume reviews etc
    With the right teaching, curriculum and guidance, we are confident you will achieve your goals.

    Yes! We strive to prepare for the career of your dreams. Thus, we have added multiple expert mock interviews to help you overcome pre-interview jitters and get you industry-ready.

    Our employer partners range from technology MNCs (Multinational Corporations) to fast-growing startups to companies in the financial services space. Please visit www.scaler.com/mentor to learn more about where our alumni are placed.

    Employers hire for a wide variety of roles, including full-stack engineering and backend-engineering across a range of work experience. We would be careful to ensure that you apply to companies that match your qualifications and strengths.

    Employers typically hire engineers all through the year, depending on their requirements. When employers do approach us, we would make the opportunity visible to students in the batch. Students are welcome to apply for opportunities that interest them. Each opportunity would have a test associated with it and students would be referred based on their performance in these tests and other factors like attendance and their problem-solving percentage.

    At Scaler, we are committed to supporting our students in their career journeys through extensive placement support and our network of 900+ partner companies. While we do not provide job guarantees, we offer valuable resources and training to improve job prospects.

    Our students benefit from personalized career guidance, regular mentorship, interview preparation assistance, resume building support, and mock interviews conducted by industry experts. The active Scaler community, with over 40,000 members, provides networking opportunities and continuous support.

    Notably, our alumni have secured a median salary hike of 150% and medium CTC of INR 25 lakhs per annum.

    Take a look at the Scaler Career Assessment Report audited by B2K Analytics for more insights

    Scaler's highest placement package of INR 1.7 crore per annum, with an average of INR 21.6 lakh per annum. Scaler Alumni's have secured positions in leading tech companies like Facebook, Google, Amazon, Directi, Adobe, and Microsoft etc.

    While we provide rigorous training, networking opportunities, and dedicated placement assistance, job placements are not guaranteed.

    At Scaler, we're proud to achieve a 93.5% success rate amongst students who successfully completed the program.

    These figures showcase our commitment to helping students reach their career goals, with many securing placements in top tech companies. The highest package secured to date is INR 1.7 crore per annum.

    While we provide dedicated placement assistance and networking opportunities, we do not guarantee placements.

    It depends on an individual's skills, experience, and background. The highest package for a Scaler graduate is ₹1.7 crore per annum, with an average salary of ₹21.6 LPA.

    While we do not guarantee jobs, we are committed to providing our learners with the resources and dedicated placement assistance they need to succeed.

    Tuition fee

    The fee may vary depending on the program you choose. Scaler offers different programs with varying duration. To enroll, you must pass the Scaler entrance test. Scholarships are also available based on the entrance test scores.

    For detailed fee, payment, and scholarship information, please request for a callback, our counsellors will reach out to you.

    Yes! Via our NBFC partners, we provide a range of EMI options, from zero-interest EMI options (upto 24 months) and longer tenure loans of 36 months. The longer tenure loans of 36 months will include the interest cost.

    Certainly! If you choose to withdraw from our program within the initial 2 weeks, Scaler offers a full refund. This 2-week trial period allows you to experience the course, and if you're not entirely satisfied, we will refund your payment in full. However, please note that after this 14-day window, course cancellation is not possible.

    Welcome to the Scaler family

    You will receive an email from us with a link to reset your password. We recommend that you do so before your next login. You can also use the OTP option.

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