
Build a fully functional ai-powered computer science portal using Next.js, React.js, Node.js, and MongoDB; learn ai-generated content, authentication, role-based dashboards, and dynamic curriculum with drag-and-drop.
Set up your local environment with VS Code, Node.js LTS, and MongoDB Compass for a responsive Next.js full-stack project, covering mern, ai-driven content creation, and secure payments and role-based access.
Set up a Next.js LMS project by installing Node.js, npm, and VS Code, then create app with npm create next step latest, run npm run dev, and view at localhost:3000.
learn to install Material UI in a Next.js project, verify React compatibility, run npm install, and start using Material UI components like buttons, icons, and text fields with basic examples.
Build a responsive LMS navbar for the computer science portal using Material UI, with a left title, a centered logo, and right-side links for courses, jobs, practice, and contest.
Explore building a responsive lms navbar component with hover-driven arrow rotation, a stateful hover index, a centered logo, right-side icons, and a mobile drawer.
Build an LMS navbar component with a responsive drawer toggle, menu items, styled buttons, and a hamburger menu for small devices, plus click and keydown handling to control the drawer.
Implement a login modal using the Material UI modal component, manage a boolean state to open and close it, and render login and register components inside the modal.
Implement a login and register modal using material UI, with tabbed sign in and sign up, managed by state, and dynamic fields for name, email, password, and organization.
Create a signup component by defining form state for name, email, password, and organization, handle changes, manage loading and errors, and submit with validation.
Implement signup form validation to check name, email, password, and organization, show errors, and prevent submission; then send data to a server endpoint with fetch, handling loading and toast notifications.
Learn to connect frontend to backend by creating a config.js with db uri and API settings, exporting modules, and implementing a server-side register API that hashes passwords with bcrypt.
Define a Mongoose user schema for MongoDB with fields for name, email, image, password, organization, role, and subscription, enabling timestamps and unique, trimmed, lowercase emails, and export the user model.
Creates register api route by connecting to a MongoDB database via a db connect utility, checks for an existing email, hashes the password with bcrypt, and saves the new user.
learn to implement react google reCAPTCHA on the signup component, including client-side integration, handling reCAPTCHA tokens, and server-side verification with a retry mechanism using node fetch.
Implement NextAuth-based authentication with a signup and login flow, including reCAPTCHA human verification, form handling, and credentials-based sign in, plus configuring auth options.
Learn how to configure next auth providers with a credential provider and connect to the database. Hash and verify passwords with bcrypt, and implement JWT-based sessions and login callbacks.
Set up next auth on the server side, configure an auth folder with next auth handlers, and run the project to enable email login and signup.
Display the user profile in the navbar when signed in and redirect to the correct dashboard based on user role (admin or user) with NextAuth sessions.
Implement social logins by adding Google, Facebook, GitHub, and LinkedIn buttons with material icons and dividers. Style the buttons and configure on-click sign-in flows for each provider.
Implement Google and GitHub social logins for a computer science portal by configuring OAuth credentials, updating NextAuth.js providers, testing sign-in, and saving user profiles, while skipping Facebook and LinkedIn.
Learn how to implement middleware to guard admin and user routes using next auth, tokens, and user roles, redirecting unauthorized users to the home page.
Build and integrate an admin sidebar for the dashboard using Material UI and typography, with responsive drawer behavior, role management, and icon-based menu routing.
Build an admin sidebar with menu items for dashboard, content, courses, categories, users, pricing, and sign out using next-auth, icons, routes, and responsive hover drawer.
Implement responsive admin sidebar behavior for a computer science portal: show top navigation on small screens, reveal a left drawer on menu click, and toggle drawer state.
Create a category model with Mongoose by defining a category schema that includes name and slug fields, both required and trimmed, and enabling timestamps to track creation and updates.
Build a category api with get and post methods using MongoDB, slug generation, and error handling. Fetch all categories sorted by creation date and return created category to the client.
create a dynamic put and delete api for category by id, connect to MongoDB with db connect, and use the category model to update or delete records.
Create the create category component, set up the admin folder for category manager, import the sidebar, and implement the category manager with its styles to render a functional interface.
Create an add/edit category input with a Material UI text field and useState for new category and editing id and name. Update onChange and enable button when input is non-empty.
Learn how to set up Redux Toolkit with React Redux, create a category slice and async thunk, and configure a store for global state management.
Learn to implement redux toolkit actions to create and update categories, dispatch updates, and manage state with dispatch and selectors while communicating with the server using post and put requests.
Fetch categories from the API using an async thunk, handle pending, fulfilled, and rejected states in Redux, and display category names in a list with edit and delete icons.
Master the category CRUD by implementing create, read, update, and delete operations with redux thunks, dispatches, and useEffect, ensuring live UI updates and error handling.
Next.js MERN Stack Course (2026): Build an AI LMS & Coding Education Platform
Master modern Full-Stack Web Development by building a production-ready AI-powered Learning Management System (LMS), Coding Education Platform, and Course Marketplace using Next.js 16, React 19, Node.js, Express.js, MongoDB (MERN Stack), NextAuth, JWT, ChatGPT, Gemini AI, Stripe, PayPal, Razorpay, Cloudinary, and modern cloud deployment.
This hands-on course goes beyond theory. You'll build a complete multi-instructor education platform with AI-powered features, secure authentication, online payments, dashboards, analytics, course management, and marketplace functionality—similar to platforms like Udemy, Coursera, and other modern EdTech applications.
Whether you're preparing for software engineering interviews, building your portfolio, freelancing, or launching your own SaaS product, this course provides practical experience building scalable, production-ready applications.
What You'll Build
AI-Powered Learning Management System (LMS)
Online Coding Education Platform
Multi-Instructor Course Marketplace
Student Dashboard
Instructor Dashboard
Admin Dashboard
Course Management System
Curriculum Builder
Video Learning Platform
AI Course Assistant
AI Course Content Generator
Course Search & Filtering
Secure Authentication
Online Payments
Subscription System
Analytics Dashboard
Certificates
Responsive Web Application
Production Deployment
What You'll Learn
Next.js 16 & React
Build modern full-stack applications using
Next.js 16
React 19
App Router
Server Components
Client Components
Dynamic Routing
API Routes
Middleware
SEO Optimization
Performance Optimization
MERN Stack Development
Develop a scalable backend using
Node.js
Express.js
MongoDB
Mongoose
REST APIs
CRUD Operations
API Architecture
Authentication & Authorization
Implement enterprise-grade authentication using
NextAuth.js
JWT Authentication
Google Login
GitHub Login
OAuth Providers
Role-Based Access Control (RBAC)
Protected Routes
Session Management
Secure Cookies
AI Integration
Create intelligent learning experiences using modern AI.
You'll build
ChatGPT API Integration
Google Gemini API
AI Course Generator
AI Quiz Generator
AI Coding Assistant
AI Learning Assistant
AI Course Recommendations
AI Search
Prompt Engineering Basics
Learning Management System (LMS)
Develop a complete LMS featuring
Course Creation
Course Publishing
Curriculum Management
Drag-and-Drop Curriculum Builder
Lesson Management
Video Streaming
Progress Tracking
Certificates
Student Enrollments
Marketplace Features
Build a multi-vendor education marketplace where instructors can
Publish Courses
Sell Courses
Manage Students
View Earnings
Track Sales
Manage Orders
Receive Payments
Payment Integration
Accept secure online payments using
Stripe
PayPal
Razorpay
UPI
Credit & Debit Cards
Net Banking
Buy Now, Pay Later (BNPL)
Subscription Billing
Payment Verification
Webhooks
Dashboards
Build professional dashboards for
Admin
Manage Users
Manage Courses
Manage Instructors
Manage Students
Manage Payments
Platform Analytics
Instructor
Course Analytics
Student Management
Earnings Dashboard
Course Management
Order Management
Student
My Learning
Wishlist
Certificates
Purchase History
Learning Progress
Cloud Storage & Deployment
Deploy professional applications using
Cloudinary
Vercel
Environment Variables
Production Configuration
Performance Optimization
SEO Best Practices
Modern UI Development
Design beautiful interfaces using
Material UI (MUI)
Responsive Design
Mobile-First Layouts
Dark Mode
Professional Dashboards
Real-World Features
You'll implement features commonly found in modern learning platforms, including
AI-powered course recommendations
AI learning assistant
Advanced course search
Multi-instructor marketplace
Secure authentication
Course reviews and ratings
Wishlist
Shopping cart
Coupons and discounts
Subscription plans
Analytics dashboard
Email notifications
Responsive design
Production deployment
Technologies You'll Master
Next.js 16
React 19
MERN Stack
Node.js
Express.js
MongoDB
Mongoose
JavaScript
Material UI (MUI)
NextAuth.js
JWT Authentication
OAuth
RBAC
REST APIs
ChatGPT API
Google Gemini API
AI Integration
Prompt Engineering
Stripe
PayPal
Razorpay
Cloudinary
Vercel
Git & GitHub
Why This Course?
Unlike courses that teach isolated concepts, this course guides you through building a complete AI-powered education platform from scratch.
You'll learn
Real-world project architecture
Clean and scalable code
Full-stack application development
SaaS product architecture
AI integration
Secure authentication
Payment systems
Cloud deployment
Industry best practices
By the end of the course, you'll have a portfolio-quality LMS and marketplace that demonstrates the skills companies expect from modern Full-Stack Developers.
Who This Course Is For
Next.js Developers
MERN Stack Developers
React Developers
Full-Stack Developers
JavaScript Developers
EdTech Developers
Developers interested in AI applications
Students preparing for software engineering interviews
Freelancers building client projects
SaaS founders and entrepreneurs
Anyone wanting to build modern AI-powered educational platforms
Requirements
Basic HTML, CSS, and JavaScript
Basic React knowledge is helpful
No prior Next.js, MERN Stack, or AI experience required
By the End of This Course
You'll build and deploy a production-ready AI-powered Learning Management System (LMS) and Coding Education Marketplace using Next.js 16, React 19, Node.js, Express.js, MongoDB, NextAuth.js, JWT Authentication, ChatGPT, Google Gemini, Stripe, PayPal, Razorpay, Cloudinary, and cloud deployment.
You'll gain the practical skills to create scalable SaaS platforms, monetize online courses, integrate AI into educational products, and build portfolio-ready applications that demonstrate modern full-stack development expertise.