Web Development & DSA
From Code to Creation - Build Automate Transform
Next Cohort
Course Duration
160 Hrs
Course Overview
Web Development & DSA is a powerful dual-track program designed for aspiring developers who want to master full-stack web development while strengthening their foundation in Data Structures and Algorithms (DSA). This program provides end-to-end training in building responsive, dynamic, and interactive websites using modern frontend and backend technologies, alongside rigorous preparation in problem-solving and coding logic essential for acing technical interviews and real-world challenges.
Key Features
- Combines full-stack web development with core DSA
- Focused on coding interviews and placement readiness
- Modern toolchain (React, Node, Git, MongoDB)
- Strengthens logic and problem-solving
Skills Covered
- Frontend-backend integration and deployment
- DSA topics: arrays, strings, linked lists, trees, graphs
- Coding patterns: recursion, greedy, sliding window
- Frontend-backend integration and deployment
- Git and version control workflows
- Node.js, Express.js, and REST API development
Course Curriculum
Web Development & DSA
- Module 1 – Web Development Fundamentals
- Module 2 – Version Control & Dev Environment
- Module 3 – Database Basics
- Module 4 – UI Development & React Essentials
- Module 5 – AI Integration for Developers
- Module 6 – Data Structures and Algorithms
Module 1 - Web Development Fundamentals
- HTML (HyperText Markup Language) The foundation of all web pages; it structures content using elements like headings, paragraphs, links, and images.
- CSS(Cascading Style Sheets) Used to style and visually enhance HTML elements, including layout, colors, fonts, and responsiveness.
- JavaScript (ES6+) A dynamic scripting language that adds interactivity, logic, and dynamic updates to web pages. ES6+ includes modern features like arrow functions, promises, and modules.
- Bootstrap A popular CSS framework that speeds up responsive design using pre-built components like grids, buttons, and navbars.
- Responsive Design Techniques that ensure websites look and function well on all screen sizes, from desktops to smartphones.
- Tailwind (optional) A utility-first CSS framework that offers rapid styling capabilities with minimal custom CSS. Great for customizing UI without writing repetitive styles.
Module 2 - Version Control & Dev Environment
- Git & GitHub Git is a version control system that tracks code changes; GitHub is a cloud platform to store, share, and collaborate on code. Together, they enable efficient team development and project management.
- VSCode A powerful, lightweight code editor from Microsoft with smart features like IntelliSense, debugging, Git integration, and extensions for all major programming languages.
- npm/yarn Package managers used for installing and managing JavaScript libraries and dependencies. Essential for modern web and Node.js development.
- Node.js basics A runtime environment that lets you run JavaScript on the server side. Enables building scalable backend services and full-stack apps using JS.
Module 3 - Database Basics
- SQL (MySQL/PostgreSQL) Structured Query Language used to manage and query relational databases. MySQL and PostgreSQL are widely-used, open-source SQL databases.
- NoSQL (MongoDB) A non-relational database designed for flexibility and scalability. MongoDB stores data in JSON-like documents, making it ideal for dynamic or unstructured data.
- CRUD Create, Read, Update, and Delete — the four basic functions for interacting with any database. Fundamental for building full-stack applications.
- Joins SQL operations that combine rows from two or more tables based on related columns. Enables complex queries and relational data retrieval.
- Triggers Automated actions in a database that execute in response to events like insertions or updates. Useful for logging, validations, and workflows.
- ER (Entity-Relationship) Models Visual representations of database structure, showing tables, relationships, and key attributes. Crucial for designing scalable database schemas.
Module 4 - UI Development & React Essentials
- React.js A popular JavaScript library for building fast and interactive user interfaces. Emphasizes reusable components and efficient DOM updates.
- Redux A predictable state container for managing application state globally in React apps. Helps handle complex data flows with ease.
- JSX(JavaScript XML) A syntax extension that allows writing HTML-like code within JavaScript. Makes UI components more readable and intuitive in React.
- Components Independent, reusable building blocks of React applications. Each component encapsulates its own logic and UI.
- Props & State Props allow data to be passed between components, while state holds local, dynamic data that affects rendering. Core concepts for interactivity.
- Routing Enables navigation between different views or pages in a single-page application. Supports dynamic routing and nested routes.
- Hooks Functions like useState, useEffect, and useContext that add state and side effects to functional components. Simplify logic reuse and component lifecycle handling.
- Form Handling Techniques to manage form input, validation, and submission within React. Covers controlled components and libraries like Formik or React Hook Form.
Module 5 - AI Integration for Developers
- GitHub Copilot An AI-powered coding assistant developed by GitHub and OpenAI that suggests entire lines or blocks of code as you type. Enhances productivity and reduces boilerplate effort.
- Cursor An AI-integrated code editor designed to work alongside developers, enabling intelligent code navigation, autocompletion, and AI-powered edits directly in the IDE.
- Gemini Google’s GenAI model integrated into coding tools (like Google Colab or IDEs), helping with explanations, autocompletion, and efficient problem-solving.
- Prompt-driven coding The process of instructing AI models to generate or modify code using natural language prompts. Enables faster prototyping and enhances developer efficiency.
- Debugging using AI AI-assisted debugging tools analyze your code, suggest fixes, and explain errors. Helps reduce manual debugging time and improves code quality.
Module - Data Structures and Algorithms
- Introduction to Problem Solving Learn how to break down complex problems and design step-by-step logic to arrive at optimal solutions. Focuses on computational thinking and algorithm design.
- Arrays and Strings Fundamental data structures used to store collections of items. Covers indexing, traversal, manipulation, and common interview problems.
- Stacks and queues Fundamental data structures used to store collections of items. Covers indexing, traversal, manipulation, and common interview problems.
- Linked lists Dynamic data structures where elements point to the next node. Includes singly, doubly, and circular linked lists with insert/delete operations.
- Recursion and backtracking Techniques where a function calls itself to solve problems. Used in combinatorial tasks like permutations, mazes, and puzzles.
- Hashing and sets Efficient data lookup using hash functions. Learn to implement maps and sets to solve frequency, uniqueness, and pattern problems.
- Searching and Sorting Algorithms Includes binary search, merge sort, quick sort, etc. Essential for understanding algorithm efficiency and preparing for coding interviews.
- Trees and Graphs Non-linear data structures used for hierarchical and networked data. Learn tree traversal, graph representations, BFS, DFS, and shortest path algorithms.
- HTML
- CSS
- JavaScript (ES6+)
- Bootstrap
- Responsive Design
- Tailwind (optional)
- Git & GitHub
- VSCode
- npm/yarn
- Node.js basics
- SQL (MySQL/PostgreSQL)
- NoSQL (MongoDB)
- CRUD
- Joins
- Triggers
- ER Models
- React.js
- Redux
- JSX
- Components
- Props & State
- Routing
- Hooks
- Form Handling
- GitHub Copilot
- Cursor
- Gemini
- Prompt-driven coding
- Debugging using AI
- Introduction to Problem Solving
- Arrays and Strings
- Stacks and queues
- Linked lists
- Recursion and backtracking
- Hashing and sets
- Searching and Sorting Algorithms
- Trees and Graphs
Salary Scale
Maximum
35 LPA
Average
15 LPA
Minimum
10 LPA
Job Role
- Full Stack Developer
- Software Engineer
- Web Application Developer
- MERN Stack Developer
- Product Engineer
- Frontend Developer
Course Certificate
Eligible Criteria
- B.E/B.Tech in ECE, EEE, Instrumentation (Final Year or Recent Graduates)
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Possess good English communication skills
Tools & Technologies





















Training Options
Online
Training
₹
16,000
Including GST*
-
24/7 LMS Access
-
Live Online Session
-
On-Campus Immersion
Classroom
Training
₹
32,000
Including GST*
-
24/7 LMS Access​
-
Peer Learning & Support
-
Career Guidance & Mentorship
Why Join this Program
Interview-Focused DSA Training
Tailored for coding rounds at top tech firms.
Master Logic + Design
Strengthens both coding logic and UI/UX.
Real-World Web Projects
Build deployable apps with full-stack tools.
Beginner-Friendly Path
No prior experience required; structured learning.
FAQ
HTML, CSS, JS, React, Node, MongoDB, DSA.
Yes, weekly challenges + DSA assignments.
Yes, a recognized certificate + GitHub review.
Yes, a capstone full-stack project.
Learners have access to a support system that includes mentorship, discussion forums, and technical assistance to help with any queries or challenges faced during the course.
Visit futureacad.com or contact your advisor.