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Web Development Course Overview

  • Master programming fundamentals in Python/Java, advanced DSA, and CS fundamentals with live classes and 1:1 mentorship.
  • Learn software and system design, including OOP principles, system design, and case studies of building real systems.
  • Choose between FullStack or Data Engineering specialization, with intensive practical experience through real-life projects and career support.
  • A process of creating a visually appealing website by designing and coding a layout that is functional, user-friendly, & compatible with a wide range of devices and browsers. Learning web development is important because:
  • Career prospects: Learn web dev to gain skills and pursue a career in high-demand fields (front-end, back-end, full-stack dev).
  • Innovate tech: Learn web dev to contribute to innovative projects like web apps, mobile apps, and virtual and augmented reality.
  • Skills you will master with this web developer course are:
  • Proficiency in HTML, CSS, and JavaScript to build visually appealing and interactive websites.
  • Web programming fundamentals, DBMS, and web frameworks like ReactJS and NodeJS
  • Solve complex problems using programming constructs and data structures
  • Experience with full-stack development and data engineering, including skills in MVC, SQL, REST APIs, and big data processing
  • Advanced skills in competitive programming and product management, including topics like combinatorics, product thinking, probability, and project management.
  • Key highlights of the Scaler Academy's Web Developer Course

    Learn Web Development as part of the Scaler Academy course and get a head-start on your career as a Web Developer.
    <b>Structured, 
                industry-vetted curriculum</b>
    Structured, industry-vetted curriculum
    <b>Live classes</b> led by 
                <b>faculty members</b> with hands-on experience
    Live classes led by faculty members with hands-on experience
    Intensive <b>practical experience</b> 
                through <b>real-life projects and applications</b>
    Intensive practical experience through real-life projects and applications
    <b>Aspirational network of peers</b>, 
                across batches and backgrounds
    Aspirational network of peers, across batches and backgrounds
    <b>Regular 1:1 mentorship</b> 
                from product industry veterans
    Regular 1:1 mentorship from product industry veterans
    <b>Career support</b> through mock interviews, 
                profile building, and referral networks
    Career support through mock interviews, profile building, and referral networks

    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!
    Access job opportunities from our 600+ employer partners
    Exchange job opportunities with our extensive 20K+ Scaler student community
    Practice mock interviews with people working in the industry
    Optimize your resume & LinkedIn profile with our experienced experts
    Scaler alumni work at reputed tech organizations and promising startups

    Gain confidence in Web Development 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 them become solid certified Web Developers
    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.
    Connect with an Academic Counsellor

    Web Development Course Fee

    With EMI options, your payment can be as low as Rs 8,628 per month - that's like your monthly grocery bill!
    Total fee: Rs 3.69L inclusive of GST at 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

    Web Development Course FAQs

    What is Scaler Academy's online web development program?

    Scaler Academy's online web development program is a comprehensive course designed to teach web development concepts, tools, and techniques. It covers a range of topics such as programming fundamentals, data structures, algorithms, software and system design, and specialization in full-stack development or data engineering. The curriculum also includes projects and assignments to provide practical experience to students.

    How this Web Developer program is different from other programs?

    What sets Scaler Academy's web development program apart is its -

  • Well structured, industry-vetted curriculum.
  • Live classes led by faculty members with hands-on experience.
  • Intensive practical experience through real-life projects and applications.
  • Regular 1:1 mentorship from product industry veterans.
  • Offers career services like access to job opportunities, mock interviews, and resume building.
  • Who is eligible for Scaler Academy's online Web developer courses?

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

    When are the live classes held?

    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.

    What happens if I miss a lecture in this online web developer course?

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

    Can I attend this web developer training part-time?

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

    Are web developers in demand in 2023?

    Web development remains a highly in-demand and popular skill in 2023, with ample job opportunities and competitive salaries across the world. It is an excellent career choice, particularly for those who want to enter a higher-paying field without a traditional university degree.

    Will I get a web developer certification?

    Yes, you will receive a course completion certificate upon successful completion of the course, which verifies your newly acquired skills and knowledge.

    What does a Web Developer do?

    Web Developers are responsible for designing and maintaining websites. Also, managing technical aspects like speed, performance, and capacity. Additionally, they may create website content and optimize it for search engines.

    What is the average salary for a Web developer?

    The average salary for a web developer varies by country and experience level. According to Glassdoor, the average salary is INR 9,88,940 per year for a Web Developer in India. In the United States, the average salary for a Web Developer is $73,425 per year.

    How web developers are different from software engineers?

    Web developers focus on designing and building websites and web applications, while software engineers specialize in creating programs for operating systems. However, the roles and responsibilities may overlap as technology continues to evolve.

    Is Web development difficult to learn?

    Learning the basics of Web development is relatively easy, but becoming proficient requires continuous learning and practice over a long period of time.

    What level of coding proficiency is necessary to be successful as a web developer?

    One needs to have a good understanding of HTML, CSS, and JavaScript. Also, knowledge of frameworks and libraries like React, Angular, and Vue.js.

    Should I join the Beginner, Intermediate, or Advanced section of this online web development course?

    Your eligibility for the Beginner, Intermediate, or Advanced section is decided basis of a 30-minute entrance test.

    What is the duration of this web development online program?

    Depending on which section you are allotted, the duration of the course could range from 9 to 13 months.

    What are the prerequisites for enrolling in this web development training?

    Enrolling in this web developer program does not require any prerequisites. The program is designed to accommodate both beginners and experienced professionals looking to improve their web development skills. However, a 30-minute initial multiple-choice question (MCQ) test will be conducted to assess your fundamental knowledge.

    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)
  • Can this test be taken on mobile?

    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.

    Do I need to prepare for this initial 30 min test?

    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.

    What is the role of the tutor in this course?

    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

    What are the profiles of the tutors?

    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

    How will my doubts get solved?

    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.

    What is the role of the Teaching Assistant in this course?

    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.

    What are the profiles of the Teaching Assistants?

    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.

    How many Teaching Assistants are allotted per batch?

    2 Teaching Assistants (TAs) are allotted per batch of 40-50 students. This ensures each student gets enough time with their TA and gets their queries resolved instantly.

    What is the process of resolving doubts?

    If a student has a question, they can submit a 'Help Request' which will be shared with their peers to promote a sense of community and collaboration. At the same time, the Teaching Assistant will be notified of the request. The student's query can be addressed either through peer discussion or by the Teaching Assistant via text or video call. In case of a video call, the Teaching Assistant can share their screen to provide a better understanding of the concept. These video calls are conducted on a one-to-one basis.

    What is the role of the mentor?

    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.

    What are the profiles of the mentors?

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

    How many mentors are allotted per batch?

    Based on your background, we offer a few mentors for you to choose from at the beginning of the course. You could choose 1 mentor of your choice from this pool. We try to ensure that your mentor is relatable to your background.

    Can I change my mentor?

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

    What kind of placement support will I be given after this course?

    We provide three kinds of placement support once you complete this web developer course:

  • 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.
  • 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)
  • Preparation assistance via mock interviews, resume reviews etc With the right teaching, curriculum and guidance, we are confident you will achieve your goals.
  • Could someone help me do mock interviews?

    Absolutely! We aim to assist you in getting ready for your job interviews by conducting mock interviews. There are two options for mock interviews:

  • Students can opt to have mock interviews with their mentors (as mentioned in the 'Mentor' section of these FAQs).
  • We can link you up with a working professional from the company where you have an interview scheduled. This will give you a better understanding of the company and help you prepare for a more targeted mock interview.
  • What are the top companies hiring Full Stack Developers?

    There are many companies hiring web developers, but some of the top ones are:

  • Amazon
  • Google
  • Microsoft
  • Apple
  • Facebook
  • Uber
  • Airbnb
  • IBM
  • Salesforce
  • Paypal
  • What kind of roles do employers hire for?

    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.

    When would employers come to Scaler Academy to hire web developers?

    Employers typically hire web developers 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.

    What is the total tuition fee?

    The total tuition fee including GST is INR 3.69L. With EMI, this can drop as low as ~INR 8,628/month (equivalent to your monthly grocery bill!)

    Are there scholarships?

    Yes! Way of getting exciting scholarships at Scaler Academy Get up to INR 25,000 as scholarship basis your performance in the 30 minutes entrance test!

    Can I pay in EMIs?

    Yes! Via our NBFC partners, we provide a range of EMI options, from zero-interest EMI options (upto 12 months) and longer tenure loans of 24 months and 36 months. The longer tenure loans of 24 months and 36 months will include the interest cost.

    Program Registration
    Thanks for your interest. We will let you know when the course is about to begin.