Professional Full-Stack Web Developer

Professional Diploma Training

We offer instructor-led online live virtual training and physical classroom training delivered by certified trainers and experienced industry professionals

About Course

Full Stack Web Developer – AI-Powered Comprehensive Professional Program 

Offered by: CloudNet India, Kolkata

Duration: 12 Months | Class Schedule: 3 Days per Week
Session Duration: 2 Hours per Session | Weekly Training Time: 6 Hours
Total Training Hours: ~288 Hours
Mode: Classroom (Kolkata) / Live Online / Hybrid
Level: Beginner to Advanced (Professional / Job-Ready)

Full Course Description

The 12-Month Comprehensive Professional Full Stack Web Developer (AI-Powered – 2026 Ready) program by CloudNet India, Kolkata is an advanced, in-depth career program designed for learners who want strong fundamentals, real-world engineering skills, and long-term career growth in the software industry.

This program goes beyond a regular MERN course by covering core web technologies, MERN stack, backend engineering depth, system basics, cloud deployment, software best practices, and AI-assisted development workflows used by modern IT companies in India and globally.

Students will learn how to build scalable full stack applications, collaborate using GitHub, deploy on cloud platforms, and integrate AI-powered features such as chatbots, smart search, and content generation into web applications.

This course is ideal for learners targeting Full Stack Developer jobs in Kolkata, PAN India IT roles, and global remote opportunities in 2026 and beyond.

Who Can Join

This Full Stack Web Developer course in Kolkata is suitable for:

  • Students (12th pass, diploma holders, graduates)
  • Freshers looking for professional software developer jobs
  • Working professionals (IT / Non-IT) planning a career transition
  • Freelancers & startup founders
  • Anyone aiming to become a professional Full Stack Web Developer

No prior coding experience is required.

Technology Stack Covered

Core Web & Programming

  • HTML5, CSS3, JavaScript (ES6+)
  • Responsive & Accessible Web Design

Frontend Engineering

  • React.js (Advanced)
  • State Management, Performance Optimization

Backend Engineering

  • Node.js, Express.js
  • REST APIs, Authentication, Authorization

Database

  • MongoDB (Advanced – NoSQL)
  • SQL Database (Transactional Systems): MySQL / PostgreSQL

DevOps & Cloud

  • Git, GitHub (Professional workflows)
  • CI/CD Basics
  • Cloud Deployment (AWS, Vercel, Render)

AI Tools & APIs (2026 Relevant)

  • ChatGPT / GPT-based IDE Assistants
  • GitHub Copilot / AI Pair Programming
  • Cursor / AI Code Editors
  • Figma AI (UI/UX)
  • OpenAI & Hugging Face APIs

Job Roles After Course Completion

With MERN + SQL expertise, learners can work on both modern web apps and enterprise transactional systems.

  • Full Stack Web Developer
  • MERN Stack Developer
  • Frontend Engineer (React)
  • Backend Engineer (Node.js)
  • AI-Integrated Web Developer
  • Software Engineer (Entry–Mid Level)

Placement Support – CloudNet India, Kolkata

CloudNet India provides dedicated placement support in Kolkata and PAN India, including:

  • Resume & GitHub profile optimization
  • AI-based mock interviews
  • Live project & internship support
  • Job referrals & interview scheduling
  • Guidance for IT companies & startups in Kolkata

Certification

Comprehensive Professional Full Stack Web Developer (AI-Powered – 2026 Ready)
Issued by CloudNet India, Kolkata

This 12-month program is ideal for learners seeking strong fundamentals, deeper expertise, and long-term software engineering careers.

Key Features

You will get 100% job Assurance and life time e-placement support

classed taken by globally certified trainers

You will get 3 year Dedicated placement support

Courses are globally recognized & accredited

12-Month Full-Stack Web Developer Course Kolkata

  • Internet, Browsers & Web Architecture
  • Client–Server Model, HTTP/HTTPS
  • Programming Logic & Problem Solving
  • HTML5 (Semantic, Forms, Accessibility)
  • CSS3 (Flexbox, Grid, Responsive Design)

AI Usage: Concept explanation, layout generation, error fixing

  • Advanced CSS & Tailwind
  • UI Components & Layout Systems
  • Web Accessibility (WCAG)
  • Intro to Figma & Design-to-Code Workflow

AI Usage: AI UI suggestions, Figma AI layouts

  • Variables, Functions, Scope
  • Arrays, Objects & JSON
  • DOM Manipulation & Events
  • ES6+ Features

AI Usage: Code explanation, refactoring

  • Async JavaScript (Promises, async/await)
  • Fetch API
  • Error Handling Patterns
  • Browser Storage

AI Usage: Debugging assistance, mock API data

  • React Architecture & JSX
  • Components, Props & State
  • Hooks (useState, useEffect)
  • Conditional Rendering

AI Usage: Component generation, accessibility checks

  • React Router
  • Forms & Validation
  • Context API
  • Performance Optimization
  • Code Splitting

AI Usage: Component refactoring, test generation

  • Node.js Architecture & Event Loop
  • Express Framework
  • RESTful API Design
  • Middleware & Error Handling

AI Usage: API boilerplate creation, debugging

  • JWT Authentication
  • Role-Based Access Control
  • Password Hashing
  • OWASP Top 10

AI Usage: Security analysis, vulnerability detection

MongoDB (NoSQL)

  • MongoDB CRUD & Aggregations
  • Mongoose ODM
  • Schema Design
  • Indexing & Performance Optimization

SQL Databases (Transactional Applications)

  • Relational Database Concepts
  • MySQL / PostgreSQL Architecture
  • Tables, Relationships & Normalization
  • SQL Queries (SELECT, JOIN, INSERT, UPDATE, DELETE)
  • Transactions, ACID Properties
  • Using SQL with Node.js (ORM / Query Builders)

AI Usage: Schema design assistance, query optimization, SQL query generation

  • Frontend–Backend Integration
  • File Uploads & Cloud Storage
  • Payment Gateway (Intro)
  • Error Logging & Monitoring

AI Usage: Integration debugging, performance tuning

  • AI Chatbots & Assistants
  • Smart Search & Recommendation
  • Content Generation
  • Using OpenAI / LLM APIs

AI Usage: Real AI feature development

  • GitHub Advanced Workflows
  • CI/CD Basics
  • Cloud Deployment
  • Resume, Portfolio & Interview Prep

AI Usage: Resume building, mock interviews, documentation

Capstone Projects (Multiple)

  • Full Stack MERN Application
  • AI-Enabled Web Application
  • Industry-Style Team Project

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