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Why System Design?

System Design is the systematic approach that covers a wide range of engineering concepts and principles for designing scalable systems that are modular, reusable, and extensible.
Low-Level Design is the process of designing software components, interfaces, and modules of systems in a modular, reusable, extensible manner to meet the current/ future needs of any organization. High-Level Design digs into depth of all related variables, including architecture, required hardware/software components, how data travels and is stored throughout the system, and how caching is done to optimize the system for fast response times and reduced costs, etc. This includes choosing what kind of database to use, like Cassandra or MySQL or something else, and making choices like SQL vs. NoSQL.
A software engineer who understands both High Level and Low Level Design performs better. It enables an engineer to make architectural decisions to make the software system efficient and scalable while saving an organization's cost. It allows one to distinguish between available databases, e.g., MySQL, PostgreSQL, etc. It also enables one to find the best tool to solve a particular engineering challenge, with tools like Messaging Queues, Load Balancers, etc.
System Design will:
  • Enhance the quality of software systems developed by engineers
  • Save long-term engineers costs for a company
  • Make software systems able to handle changing product requirements and also handle large scale
  • To become a jack of systems design, you need to take into account the following when building a software system:
  • Understand the product requirements (current as well as future) and edge cases very well
  • Create and document software and System Design, which includes Class Diagrams, Schema Diagrams, Architectural High-Level Diagrams
  • Understand the pros and cons of every software system like Databases, Caches, etc., and when to use them
  • Key Highlights of the System Design Module in the Scaler Academy Program

    Become an expert at System Design with Scaler Academy. A necessary skill for any top software engineer, enable yourself to learn these important concepts with ease and swiftness.
    Offers an industry-vetted <b>structured curriculum</b>
    Offers an industry-vetted structured curriculum
    <b>Access to recorded lectures</b> anytime, anywhere as per your convenience
    Access to recorded lectures anytime, anywhere as per your convenience
    <b>Complicated topics simplified</b> and thoroughly explained
    Complicated topics simplified and thoroughly explained
    <b>Live classes</b> by experienced professionals and alumni
    Live classes by experienced professionals and alumni
    <b>1:1 mentorship</b> from industry veterans on a <b>regular basis</b>
    1:1 mentorship from industry veterans on a regular basis
    <b>Career support</b> through a dedicated team, strong alumni network
    Career support through a dedicated team, strong alumni network

    Curriculum is designed to make you a solid engineer

    Beginner
    11.5 Months
    Circle boundary 0822a30d92ac3930a0c28fe0e9e569145efa2e9e93349b6405a525554aaaca79.svg
    Checked circle 8d182dfbe72948215db9ddf7a22d36b0f5d91ccada0c6e3e86415486bd00e3dd.svg
    Intermediate
    11.5 Months
    Circle boundary 0822a30d92ac3930a0c28fe0e9e569145efa2e9e93349b6405a525554aaaca79.svg
    Checked circle 8d182dfbe72948215db9ddf7a22d36b0f5d91ccada0c6e3e86415486bd00e3dd.svg
    Advanced
    9.5 Months
    Circle boundary 0822a30d92ac3930a0c28fe0e9e569145efa2e9e93349b6405a525554aaaca79.svg
    Checked circle 8d182dfbe72948215db9ddf7a22d36b0f5d91ccada0c6e3e86415486bd00e3dd.svg
    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
    • 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
    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

    Career Services

    Along with upskilling and preparing you to be a solid engineer, we will help you with your job search and interview preparation as well!
    Exchange job opportunities with our extensive 20K+ Scaler student community
    Access job opportunities from our 600+ employer partners
    Optimize your resume & LinkedIn profile with our experienced experts
    Practice mock interviews with people working in the industry
    Scaler alumni work at reputed tech organizations and promising startups

    Gain confidence in System Design concepts, taught by experienced instructors

    Our faculty comprises experts from Amazon, Google, Hotstar, Facebook, Microsoft to name a few, who have successfully built scalable systems

    Take the informed leap in your career with guidance and interview prep from our mentors

    1:1 Personalised Sessions are held bimonthly. Our mentors have helped thousands of students get clarity in their career paths and prepare for interviews through mock sessions

    Our success lies in our learners success stories.

    Read the reviews by Scaler Alumni on how Scaler Academy Program has helped become solid certified System Design Engineer
    I joined Scaler Academy to upskill myself for System Design and DSA. The way the curriculum was designed & the way we were engaged in the course is highly commendable. Before joining, the number of problems I solved was far too less. But, after joining Scaler I started solving around 350+ problems and this would have not been possible without the help of the instructors & TA's. A major shoutout to my mentor, he was so approachable that I didn't shy away from discussing if any problem came up. Assistance from Scaler's Talent Acquisition Team was highly helpful which made the interview process smooth and hassle-free.
    I enrolled in the six-month-long course, which was simply AWESOME. I appreciate the effort of Scaler team (Instructors, TA, Mentors, Recruiters). All of them helped me in boosting my confidence, skills & knowledge. I learned System Design, DS/Algo and other core subjects and the most important thing was I gained the confidence I needed to face any interview. Thankful to the Scaler organization for bringing such a learning platform into existence. Special thanks to my mentor who always encouraged & supported me and my recruiter for providing all the great opportunities & for being so supportive during the interview processes.
    Thanks to Scaler Academy, I am super excited and thrilled to share that I will be joining Brick&Bolt as a Software Developer. This has been possible as Scaler helped me upskill and improve my knowledge of DS Algorithm, System Design, and not forgetting the weekly lectures & daily assignments that helped me understand the concepts in a far better way. Thanks to Scaler team for creating this learning platform. Special thanks to all the mentors for teaching the DS concepts in-depth and the recruiters for guiding me throughout the interview process.
    I would love to thank Scaler Academy for improving my learning curve & skills in DS and System Design. The curriculum provided me with the structure I was looking for and that strengthened me in various aspects. Really very grateful to all the Scaler instructors for their guidance & support. Special thanks to the recruiter team who helped me through the onboarding process and also to all the amazing mentors.
    Thanks to Scaler Academy, I am excited to share with you that I will be joining Nurture.farm as a Software Engineer. This has been possible as Scaler helped me upskill and improve my knowledge of DSA and System Design. The weekly lectures along with the assignments helped me in understanding the concepts to the core. I would like to thank the team for providing such a great learning platform that Scaler is. Special thanks to the recruiters for guiding me through the entire interview process.
    Connect with an Academic Counsellor

    Tuition Fee of Scaler Academy Program

    With EMI options, your payment can be as low as 8,628 per month- that's like your monthly grocery bill!
    Total fee: Rs 3.69L inclusive of GST. You can get super affordable EMI options. Try the course for the first 2 weeks - full money-back guarantee if you choose to withdraw.
    EMI Options
    You can find both no-cost EMI & standard interest EMI from our NBFC partners. See below a summary of their best plans (more details available at the time of payment)
    Total Amount
    Upfront Downpayment
    Amount split over EMI
    Duration (Months)
    Monthly Payments
    No Cost Emi
    ₹369,000
    ₹35,000
    ₹334,000
    6
    9
    12
    18
    24
    ₹55,667
    ₹37,111
    ₹27,833
    ₹18,556
    ₹13,917
    Standard Emi
    ₹369,000
    ₹35,000
    ₹334,000
    36
    60
    ₹12,339
    ₹8,628
    Delivered via our EMI partners - Liquiloans, Eduvanz, EarlySalary, Avanse & Credit Fair
    You can also choose to avail EMI options from your credit card providers.
    Scholarship Options
    Way of getting exciting scholarships at Scaler Academy
    1. Get up to INR 25,000 as scholarship basis your performance in the 30 minutes entrance test! If you secure the scholarship and also opt for EMI payment, then you can pay as little as ₹9,811 per month to sign up for Scaler Academy!
    Financing Options
    You can avail financing options for the tuition fee. Make a down payment of $500 and the rest as monthly payments
    To learn more, request a callback and our team will reach out to you
    Scholarship Details
    How to secure your scholarship?
    You have the possibility of receiving up to a $1,100 scholarship based on your performance in the 30 minute entrance test

    Frequently Asked Questions

    To improve your system design skills, you must first gain specific knowledge and master system design basics. Don't worry; we have prepped all that for you. Our course covers a wide range of topics, including basic concepts, in-depth use cases, design principles, practical assignments, explanation videos on how to approach system design problems, and many more. This is the only way to improve your system design skills and tackle the weak parts. We bring in instructors from top tech companies who have built these systems themselves over multiple years of experience, so share their learnings and pitfalls over the career so that the systems you design are robust, scalable, modular, and extensible.
    Program Registration
    Thanks for your interest. We will let you know when the course is about to begin.