
Build a complete AI-powered e-commerce app with payment, orders, reviews, promotions, and user management using Node.js. See AI-generated product descriptions in a live final project demo.
Define a product requirements document for a full-stack e-commerce project built with ai, detailing the overview, objectives, features, and tech stack.
Configure Cursor AI for the project by setting global and cursor rules, reference updated Next.js, mongoose, and stripe docs, and follow the dev orders to build structure and authentication.
Use the project composer to generate a complete next.js project structure for the fullstack e-commerce app. Run the dev server, fix the error, and prepare for user authentication.
Implement a full user authentication flow with database models, registration and login API routes, and a UI component, using a local MongoDB setup and .env configuration for secrets.
Implement a role-based dashboard by redirecting logged-in users to either user or admin dashboards with a dynamic navbar, driven by the user session.
learn to generate a mongodb connection string for your e-commerce project by creating a free cluster, configuring access, copying credentials, and integrating the string into your app.
Build an admin dashboard for product management, including a product model, filtering by categories and pricing, and preparing an add-product form for future implementation in the Cursor AI project.
Create and manage categories and products using a form-driven workflow, including selecting a category during product creation and configuring cloudinary credentials in environment variables.
Implement multiple image uploads for products, including a cover image, handle submissions, and then restructure the UI into a dashboard with a sidebar for products, categories, orders, and users.
Restructure the admin dashboard to improve professionalism by implementing a categorized sidebar with collapsible links and a toggle to hide the sidebar, preserving core logic.
Demonstrates updating and deleting products in a fullstack e-commerce app, including editing pre-populated fields, applying filters, and performing CRUD operations across products and categories.
Practice updating and deleting categories in the fullstack e-commerce project, including adding, editing with a description, pre-populated data, reloading, and confirming deletions for data integrity.
Implement an out-of-stock product page in a fullstack e-commerce app, rendering a dashboard at /admin/products/out-of-stock, enabling submit or reload actions and product filtering.
Master bulk operations in a fullstack e-commerce project by selecting multiple products to update price, stock level, or category, with optional deletions and catalog link submissions.
Demonstrates bulk import and export of products using csv or excel, including downloading sample template, uploading data, updating images and categories, and performing bulk operations such as export and delete.
Develop a flexible product creation system that supports different categories (laptops, smartphones, clothing) with category-specific attributes (processor, ram, operating system, size, color, features) and implement update and fetch workflows.
Reformat and optimize how the app fetches and displays categories with the new features. Update category attributes, resolve save validation errors, and apply multi-select attributes like color and brand.
Update product creation to align with the newly updated category structure by populating the category name and using attributes like color, brand, and model for smartphones and laptops.
Integrate AI into an e-commerce project by building a Gemini AI powered product description generator, managing API keys, formatting outputs, and generating professional descriptions for iPhone 14 and iMac.
Implement a most viewed products feature in the fullstack e-commerce project, update the PRD, and enable CRUD operations with category updates.
Builds a product sales model to track sales analytics and identify best selling products, with current counts initialized to zero and updated as purchases occur.
Build a comprehensive product analytics dashboard with graphs and summaries, showing total product, total sales, total revenue, sales trends, top selling products, category distribution, stock levels, views, and popularity metrics.
Create a customer shopping experience with a home page showing product listings, categories, and search, plus product details with add to cart, cart, and wishlist in a responsive design.
Learn to integrate Stripe for payment and set up checkout in a Cursor-powered project, while debugging the add-to-cart flow and preparing the cart page for item quantity selection.
Fix the cart page loading state and implement attribute selection (color and brand) before adding to cart, ensuring attributes are visible and the flow to checkout remains smooth.
Learn to include product attributes on the cart page, show selected color and brand in the cart, and complete checkout with stripe integration.
Resolve the fixed cart page error encountered during Stripe payment integration by ensuring the Stripe API key is provided, and learn how to obtain the key in the next video.
Learn how to obtain and implement Stripe API keys, switch between test and live modes, and troubleshoot payment verification during checkout in a fullstack e-commerce project.
Fix the payment verification issue and demonstrate a checkout flow with test card data, showing processing, a successful payment ID, and adding the shipping address for the customer dashboard.
Enable users to add or select a shipping address from their dashboard before placing an order. They can choose an existing address or add a new one at checkout.
Learn to integrate customer orders into the dashboard, implement cart functionality, and display processing orders after successful payment, with plans to add a wish list.
implement a product wishlist feature guided by the PRD within a fullstack e-commerce project, ensure wishlist avoids duplication, reflects in home and product list pages, and supports add-to-cart flow.
Enable admin control by viewing all customers and adding new ones via a form and url links, then log in using the added customer details.
Customers can access account settings to update profile information (full name, email, phone) and security options to change their password.
Present the user dashboard account summary with dynamic data for total orders, wishlist, total spent, saved addresses, and recent orders. Replicate this logic for admin account summary to ensure consistency.
Implement the admin account summary in the cursor ai project by mirroring the user prompt, creating an admin dashboard that displays total revenue, orders, and product counts.
Restructure the user dashboard navigation by reformatting the sidebar to resemble the admin layout while preserving core logic, delivering a clean interface with order history, addresses, profile, and account settings.
✈️ Design a vibrant, responsive UI using Cursor AI to build a public navbar with icon-enhanced category dropdowns and themeforest-like templates in brand colors, powered by Framer Motion.
Learn to build a products list page that filters products by category, navigating from category clicks to a filtered product list, with completed API logic.
Redesign the home page hero section into a carousel that displays at least three products from the database, replacing the current dummy data.
Build a category carousel for a fullstack e-commerce project using icons from the DB instead of images and a carousel package under the hero section.
Demonstrates implementing the deal of the day on the home page with at least four product cards, and using real data from the API to render appliances, electronics, and laptops.
Implement a hover-based quick view that reveals an icon and text, and opens product details from the right with image galleries, ratings, stock levels, add-to-cart options, and wishlist.
Implement a flash sales section below the deal of the day, set up the API route, and display a countdown timer with a quick view slider to purchase.
Implement the most viewed product section after the flash sales, using the product model's views and last views in MongoDB, ensure the API endpoint exists, then submit, save, and reload.
Create a dedicated page that lists all the flash sales products and includes a flash sales section.
Redesign the navbar to include a search bar with category dropdown and a notification banner for flash sales and the company hotline, while keeping it responsive.
Showcases how to display ongoing discount codes on the home page after the deal of the day, highlighting active coupons with a catchy, vibrant section.
Remove the product list from the homepage and redesign the product details with image galleries and full-screen preview; improve the flash sales layout, show color swatches, and preserve add-to-cart logic.
Learn to implement a footer on the home page and display the number of cart items in the nav bar, updating as items are added or removed.
Redesign the shopping cart page using brand colors and a more appealing layout, enabling quantity adjustments, item removal, and a clear path to checkout.
Redesign the checkout page to include shipping addresses, an option to add a new address, an order summary, a coupon field, and the amount to be paid.
Redesign the product details page by revamping the reviews section, copy the URL, paste and submit, then accept and reload to review the product.
Redesign the admin and user dashboards to align the sidebar background with the nav bar and brand colors, removing any underlying sidebar for a cohesive and catchy user interface.
Redesign the login page to feel like an e-commerce login with brand colors and an image beside the form, then redesign the signup and sign-in pages for cohesive authentication.
We will redesign the admin dashboard and account summary pages to be more appealing and colorful, using creativity to make them shine while preserving the main logics.
Redesign the admin product list and all product forms, including add, edit, and analytics, while preserving functionality and applying a new look, including minimum price filtering and reset filters.
Redesign the out of stock page while preserving functionality by updating the url and visuals, and apply similar redesigns to related sections like most viewed, sales analytics, and bulk operations.
Redesigns the bulk operations page while preserving functionality, enabling price updates to 100 and stock changes, and adds import/export workflows with an Excel file.
Are you ready to harness the power of AI to build a complex full-stack e-commerce application in record time? This course will guide you step by step in developing a fully functional e-commerce platform using Cursor AI, Next.js, MongoDB, and advanced payment integration—all in under 2 hours.
With the rise of AI-driven development, traditional coding is evolving. Cursor AI accelerates the development process, automating repetitive tasks and enhancing efficiency. You'll learn how to build an end-to-end e-commerce solution, from user authentication and product management to payment processing and order management.
What You Will Learn:
AI-powered development with Cursor AI
Next.js for frontend and backend integration
MongoDB for efficient database management
Implementing secure user authentication
Managing products, orders, and payments
Integrating payment gateways for seamless transactions
Optimizing performance and scalability
Deploying the application for real-world use
Why Take This Course?
This course is perfect for developers who want to fast-track e-commerce development using AI. Whether you’re a beginner or an experienced developer, you’ll gain hands-on experience in building scalable applications with the latest technologies.
By the end of this course, you’ll have a fully functional AI-powered e-commerce store ready to launch. Start building smarter, faster, and more efficiently today with AI-driven development.