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A program for engineers to master Problem Solving & System Design

Structured, industry vetted curriculum
Structured, industry vetted curriculum
Live classes by faculty who have been there, done that
Live classes by faculty who have been there, done that
Practical experience through real-life projects
Practical experience through real-life projects
Regular 1:1 mentorship from industry veterans
Regular 1:1 mentorship from industry veterans
Career support via a dedicated recruitment team, alumni network, etc.
Career support via a dedicated recruitment team, alumni network, etc.
Aspirational peer group of 2,000+ Scaler students & alumni
Aspirational peer group of 2,000+ Scaler students & alumni

We have designed a flexible program for you

Missed a class?
Watch the recording later, with teaching assistants available to solve your doubts
Work / family needs time?
Pause your course and restart a month later with the next batch!
Jobs & class timings clash?
Decide your ideal class timing together with your classmates
Want to revise?
Access assignments/notes lifelong and recordings upto 6 months post course completion
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
Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
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Intermediate
11.5 Months
Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
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Advanced
9.5 Months
Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
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Module - 1

Programming Language Fundamentals

2 Months
Not required for Intermediate
Module - 2

Data Structures and Algorithms

4.5 Months
Not required for Intermediate
Module - 3

SQL

0.5 Month
Module - 4

LLD and Project Specialisations

3.5 Months
Module - 5

System Design Essentials

1 Month

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
Not required for Intermediate
Module - 2

DSA: Data Structures and Algorithms

4 Months
Not required for Intermediate
Module - 3

SQL

0.5 Month
Module - 4

LLD

2.5 Months
Module - 5

HLD

1.5 Months

Capstone Project

1 Month

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
  • 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
Module - 1

DSA: Data Structures and Algorithms

4 Months
Not required for Intermediate
Module - 2

SQL

0.5 Month
Not required for Intermediate
Module - 3

LLD

2.5 Months
Module - 4

HLD

1.5 Months

Capstone Project

1 Month

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

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

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