What are the Beginner, Intermediate and Advanced sections?

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. 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. 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) 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) 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.

What is the format of the initial 30 min test?

The test will comprise of Multiple Choice Questions (MCQs) on the following topics: Logical reasoning and aptitude Basic mathematics (topics like permutation and combinations, probability etc.) Basic time complexity analysis Questions on figuring out the outputs of small code snippets (in any of C++/Java/Python)

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Mediamelon

Streaming video analytics solutions

Beginner

11.5 Months

Intermediate

11.5 Months

Advanced

9.5 Months

Core Modules

(With Specialisation in AI)

Topics covered:

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

Topics covered:

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

Topics covered:

Introduction to Problem Solving

Time and Space Complexity Analysis

Introduction to Arrays

Array Techniques

Memory Management

Sorting Basics

Bit Manipulation Basics

Problems on Strings

Topics covered:

Advanced Maths Problems

Advanced Backtracking Problems

Tries

Strings Pattern Matching

Advanced Dynamic Programming Problems

Advanced Graph Concepts

Topics covered:

Relational Model

CRUD

Joins

Aggregation

Subqueries

View

Transactions

Indexing

Low Level Design and Project

(Choose only 1)

Topics covered:

Object Oriented Programming

Multithreading

Operators

Adv Java Concepts and Popular Interview Questions

SOLID Design Principles

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

Interview Questions (Spring/Hibernate)

Capstone Project

Topics covered:

HTML, CSS, Javascript

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

Capstone Project

Electives

(Optional, pick 1 or more)

Topics covered:

Consistent Hashing

Caching

CAP Theorem

Distributed Systems & Databases

SQL and NoSQL

Scalability

Zookeeper + Kafka

Location Based Services (S3, Quad Trees)

Microservices

Case Studies

Topics covered:

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

Topics covered:

Introduction to Product Management

Product Thinking & Product Discovery

Product Roadmap & Prioritization

Mental Models for Product Managers

Product Analytics

Mixpanel

Hands on Case Studies

Delivery & Project Management

Practical ways to apply PM lessons as an Engineer

Topics covered:

Introduction to AI and ML

Introduction to Deep Learning

GenAI, LLMs

Transformer Architecture

Embeddings and RAG

LLM Evaluations

AI Agents

Building Production-Ready AI Applications

Add-On Programs

(Optional, pick 1 or more)

Topics covered:

Programming Language Fundamentals

Data Structures & Algorithms

SQL

LLD and Project, ML Foundations 1 - Python Libraries

ML Foundations 2 - Probability and Statistics

ML Foundations 3 - Core Fundamentals

ML Foundations 4 - Product Analytics

Data Engineering I

Data Engineering II

Advanced DSA for Computer Programming, Product Management for Engineers

Unchosen specialisation of Fullstack or Backend

Topics covered:

Introduction to Java

Input Output and Data Types

Operators

Conditions

Loops

Pattern Problems

Functions

1D and 2D Arrays

String Implementation

Core Modules

(With Specialisation in AI)

Topics covered:

Introduction to Problem Solving

Time and Space Complexity Analysis

Introduction to Arrays

Array Techniques

Memory Management

Sorting Basics

Bit Manipulation Basics

Problems on Strings

Topics covered:

Problems on Arrays

Bit Manipulation

Recursion

Backtracking

Maths for Problem Solving

OOPS Basics

Sorting

Hashing

Searching (Binary Search)

Two Pointers

Linked Lists

Stacks

Queues

Binary Tree

BST

Heaps

BST

Greedy

Dynamic Programming

Graphs

Topics covered:

Advanced Maths Problems

Advanced Backtracking Problems

Tries

Strings Pattern Matching

Advanced Dynamic Programming Problems

Advanced Graph Concepts

Topics covered:

Relational Model

CRUD

Joins

Aggregation

Subqueries

View

Transactions

Indexing

Low Level Design - 1

(Choose only 1)

Topics covered:

OOP

Multithreading

Adv Java Concepts and Popular Interview Questions

SOLID Design Principles

Design Patterns

UML Diagrams

Schema Design

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

API Design

MVC

Backend LLD and Machine Coding Case Studies

Topics covered:

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

Topics covered:

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

Low Level Design - 2

(Mandatory)

Topics covered:

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

Electives

(Optional, pick 1 or more)

Topics covered:

Introduction to Product Management

Product Thinking & Product Discovery

Product Roadmap & Prioritization

Mental Models for Product Managers

Product Analytics

Mixpanel

Hands on Case Studies

Delivery & Project Management

Practical ways to apply PM lessons as an Engineer

Topics covered:

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

Topics covered:

Introduction to AI and ML

Introduction to Deep Learning

GenAI, LLMs

Transformer Architecture

Embeddings and RAG

LLM Evaluations

AI Agents

Building Production-Ready AI Applications

Add-On Programs

(Optional, pick 1 or more)

Topics covered:

Programming Language Fundamentals

Data Structures & Algorithms

SQL

LLD and Project, ML Foundations 1 - Python Libraries

ML Foundations 2 - Probability and Statistics

ML Foundations 3 - Core Fundamentals

ML Foundations 4 - Product Analytics

Data Engineering I

Data Engineering II

Advanced DSA for Computer Programming, Product Management for Engineers

Unchosen specialisation of Fullstack or Backend

Topics covered:

Introduction to Java

Input Output and Data Types

Operators

Conditions

Loops

Pattern Problems

Functions

1D and 2D Arrays

String Implementation

Core Modules

(With Specialisation in AI)

Topics covered:

Problems on Arrays

Bit Manipulation

Recursion

Backtracking

Maths for Problem Solving

OOPS Basics

Sorting

Hashing

Searching (Binary Search)

Two Pointers

Linked Lists

Stacks

Queues

Binary Tree

BST

Heaps

BST

Greedy

Dynamic Programming

Graphs

Topics covered:

Advanced Maths Problems

Advanced Backtracking Problems

Tries

Strings Pattern Matching

Advanced Dynamic Programming Problems

Advanced Graph Concepts

Topics covered:

Relational Model

CRUD

Joins

Aggregation

Subqueries

View

Transactions

Indexing

Low Level Design - 1

(Choose only 1)

Topics covered:

OOP

Multithreading

Adv Java Concepts and Popular Interview Questions

SOLID Design Principles

Design Patterns

UML Diagrams

Schema Design

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

API Design

MVC

Backend LLD and Machine Coding Case Studies

Topics covered:

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

Topics covered:

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

Low Level Design - 2

(Mandatory)

Topics covered:

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

Electives

(Optional, pick 1 or more)

Topics covered:

Introduction to Product Management

Product Thinking & Product Discovery

Product Roadmap & Prioritization

Mental Models for Product Managers

Product Analytics

Mixpanel

Hands on Case Studies

Delivery & Project Management

Practical ways to apply PM lessons as an Engineer

Topics covered:

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

Topics covered:

Introduction to AI and ML

Introduction to Deep Learning

GenAI, LLMs

Transformer Architecture

Embeddings and RAG

LLM Evaluations

AI Agents

Building Production-Ready AI Applications

Add-On Programs

(Optional, pick 1 or more)

Topics covered:

Programming Language Fundamentals

Data Structures & Algorithms

SQL

LLD and Project, ML Foundations 1 - Python Libraries

ML Foundations 2 - Probability and Statistics

ML Foundations 3 - Core Fundamentals

ML Foundations 4 - Product Analytics

Data Engineering I

Data Engineering II

Advanced DSA for Computer Programming, Product Management for Engineers

Unchosen specialisation of Fullstack or Backend

Topics covered:

Introduction to Java

Input Output and Data Types

Operators

Conditions

Loops

Pattern Problems

Functions

1D and 2D Arrays

String Implementation

Dive in deeper on the topics covered

Tools & Technology

VSCODE

Delivers global performance with automatic traffic scaling and zero-downtime.

Postgres

Ensures data integrity with enterprise-grade security for compliance and complex workloads.

Firebase

Reduces backend development time by 70%+ at enterprise scale with managed services.

NPM

Enables code reuse with security vulnerability scanning and centralized dependency management.

DOCKER

Eliminates environment inconsistencies and accelerates deployment cycles enterprise-wide.

Webpack

Optimises performance for large-scale modular applications with efficient asset bundling.

React

Enables component reusability across products for independent team development.

Redux

Maintains predictable behavior and simplifies debugging across large development teams.

AWS

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Gitlab

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Postman

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Jest

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Vercel

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

VSCODE

Delivers global performance with automatic traffic scaling and zero-downtime.

Postgres

Ensures data integrity with enterprise-grade security for compliance and complex workloads.

Firebase

Reduces backend development time by 70%+ at enterprise scale with managed services.

NPM

Enables code reuse with security vulnerability scanning and centralized dependency management.

DOCKER

Eliminates environment inconsistencies and accelerates deployment cycles enterprise-wide.

Webpack

Optimises performance for large-scale modular applications with efficient asset bundling.

React

Enables component reusability across products for independent team development.

Redux

Maintains predictable behavior and simplifies debugging across large development teams.

AWS

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Gitlab

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Postman

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Jest

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Vercel

Provides enterprise security, auto-scaling, and pay-as-you-use cost optimization.

Add-on Program

Eligibility assessed after completing core modules by Scaler

Campus Immersion

Learners will also get a unique opportunity to spend 2 days at the IIT Roorkee campus for lectures and activities. These sessions will be held over and above the 60 sessions that are part of the program.

✧ 12 hours of hands-on learning

✧ On-campus networking opportunities

✧ Food & accommodation included

✧ Access to research labs with cutting-edge tech

✧ Fireside chat with industry experts

✧ Access to IIT-R facilities and resources

Projects to Add to your Resume

Understand how to highlight projects on your resume and claim Scaler’s support to enhance your project portfolio

Projects in Scaler's Generative AI module

Get a breakdown of all projects in the Generative AI Module and understand how it can boost your learning and career outcomes

Case Studies in Academy Curriculum

Deep dive into case studies that are part of the Academy and know which ones contribute to LLD and HLD skill enhancement

Hands On Learning At Scaler Academy

A detailed comprehension of the successful teaching methods incorporated by Scaler in different stages of the curriculum

instructors

Meet your Instructors & Mentors

Anshuman Singh

Co-Founder

Ex

He worked with Mark Zuckerberg and led the team that built FB Messenger, before setting up FB’s office outside the US

Naman Bhalla

AI

Ex

Building an AI enabled Learning Ecosystem. Currently leading all things tech, product, design, business in Scaler

Subham Soni

SWE III

Ex

Experienced Software Engineer at Google with a history of working in the computer software industry, SDE 2@Intuit

Rahul Grover

SWE III

Ex

As a Software Engineer at Google, I contribute to the Play Integrity API team, focusing on ensuring security and reliability for users

Saparshi Mukherjee

SWE III

Prime interest lies in applications of Programming in Cryptography, App Development, AIML, Data Analysis, Cloud Computing

Bhargav Ramesh

SWE III

Currently building expertise in Application Development, Cloud Development, Custom Software, Database Development

Abhishek Ghosh

Engineering

Ex

Software Developer with a wide range of interests and sound knowledge of Data Structures and Algorithms.

Anurag Khanna

SWE II

Ex

Software Engineer with experience of 5 years. I have mentored many on how to crack Interviews of Top Product Based Companies.

Prakhar Agrawal

Senior SWE

Ex

A software developer by profession. Have been working in the industry for 11 years now. Expertise in System Design and LLD

WHY SCALER

What makes Scaler Special?

AI-POWERED

24/7 AI learning companion that has your back always

LIVE

Unlimited AI mock Interviews with Scaler Companion

dsa, lld & hld

Learn and master system design that scale

0

avg. class ratings

Across Programs

resume Builder

AI-powered resume builder to boost your hiring chances

flexibility

Learning that adapts to you and your schedule

PROJECTS

Work on hands-on live projects

PLACEMENTS

Dedicated placement support

Apply to exclusive openings curated by partner network
Focused placement training to ace in recruitments
End-to-end assistance to secure your dream role

Rajmani Patel

Senior SDE @Microsoft

As someone who has willingly gone back to learning after 8 years of working in the tech field, I can attest to the truth of these words. It was this decision to hone my skills with Scaler that readied me for Microsoft

Shiva Kant Mishra

Backend Engineer @Trackler

A new journey starts with Xpressbees. This could not have been possible without my family’s support and huge Shout out to Scaler Academy Scaler for wonderful curriculum and support throughout . An almost impossible task became so easy with the help of you guys

Jegan

Senior SDE @Nextiva

The real-world problem-solving, system design insights, and hands-on approach at Scaler were exactly what I needed to take my career to the next level.

Sarabjeet Singh

Lead SDE @Razorpay

Being an SD1 with high aspirations of being an SD2 soon, I started putting in even more effort by taking online classes at Scaler. the real-world problem-solving, system design insights, and hands-on approach were exactly what I needed to take my career to the next level

Prakash Indrasing Patil

Software Engineer @Capgemini

Scaler Academy has been the guiding light in this journey. The comprehensive curriculum, expert instructors, and the supportive community have played a pivotal role in shaping my coding prowess.

the future

Importance of Upskilling now

"The world needs 1 billion software developers and AI makes them more productive "

CEO, Microsoft

Smart companies hire more developers. If you 10x one developer, then 10 can do 100 times more.

CEO, Github

"AI makes engineers dramatically more productive, allowing us to do more."

CEO, Google

"AI will make programming more accessible to everyone, creating a massive expansion in who can build software"

Former Tesla AI Director, Open Ai

Tech leaders agree AI amplifies developers, not replaces them. Satya Nadella envisions needing billions more developers as AI boosts productivity. Thomas Dohmke sees companies hiring more engineers because AI multiplies capabilities. Sundar Pichai believes AI helps tackle bigger challenges, while Andrej Karpathy views it as unlocking new creative opportunities.

Sneak-peak into our course

Register for a Free Masterclass

Get a quick consultation with Scaler AI and boost your chances of landing top tech roles

Student stories

Tap into some of Scaler's Success Stories

Pre Scaler

Salary Hike

180%

Post Scaler

Pre Scaler

Salary Hike

150%

Post Scaler

Pre Scaler

Salary Hike

170%

Post Scaler

Pre Scaler

Salary Hike

170%

Post Scaler

Pre Scaler

Salary Hike

170%

Post Scaler

Pre Scaler

Salary Hike

150%

Post Scaler

Our payment plans make up-skilling accessible to everyone with scholarships and flexible EMIs provided by our finance partners. Schedule a call with an Academic Advisor to learn more.

FAQS

Have more Questions?

Program Curriculum Teaching Teaching assistants Entrance test Mentors Placement support Tuition fee

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:

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
Live classes thrice a week, the timings for which are pre-defined
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
Quick & hassle-free doubt resolution from our 100+ Teaching Assistants
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
Flexible program that helps you continue learning despite your super hectic schedule.
Recorded lectures to view later and also allow you to move between batches at NO cost
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.

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.

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.

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.
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)
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)

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.

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 (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.

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

Logical reasoning and aptitude
Basic mathematics (topics like permutation and combinations, probability etc.)
Basic time complexity analysis
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 :

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 allotted 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.

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.

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.

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