Udemy – Flutter & Django: Build a Full-Stack AI E-Commerce App

You will build a complete, production-ready AI-powered e-commerce application from absolute zero — a fully functional fashion shopping app with a Django REST backend and a Flutter mobile frontend. This is not a toy project. By the end of this course, you will have shipped a real app with a real backend, real payments, and real AI features that most developers have never built before.

The Tech Stack

Backend (Django):

• Django REST Framework with a clean Service Layer architecture
• JWT authentication with SimpleJWT (register, login, token refresh, logout)
• PostgreSQL with pgvector for AI-powered vector similarity search
• Stripe payment processing with webhooks, refunds & payment history
• LangChain + LLM for an AI fashion assistant agent
• Django Channels + WebSockets for real-time chat
• Celery + Redis for async task processing
• Firebase Admin SDK for push notifications
• Image optimization with WebP conversion and thumbnail generation

Frontend (Flutter):

• Clean Architecture — Domain, Data, and Presentation layers fully separated
• BLoC pattern for all state management across every feature
• Retrofit + Dio for type-safe API communication with JWT interceptors
• GetIt + Injectable for dependency injection and code generation
• GoRouter for declarative navigation with auth guards
• Stripe Flutter SDK with Payment Sheet integration
• Firebase Cloud Messaging (FCM) for push notifications
• CachedNetworkImage for performance-optimized image loading

Features You’ll Build End-to-End:

• Authentication System Complete user registration, login, JWT token management, profile editing, address CRUD, and FCM device token registration — fully tested with Postman.
• Product Catalog Category trees, product listings with filtering by price, gender, size, color and rating, product detail pages with variants, wishlist, and a full review system with ratings. Paginated results with search suggestions and filter metadata.
• AI Recommendation Engine Trending products with time-decay scoring, similar product recommendations, collaborative filtering for personalized “For You” sections, and Redis-backed caching with automatic refresh.
• Cart & Checkout Session-based cart with add, update, remove and clear. Multi-step checkout with address selection, shipping method selection and order placement with stock deduction in a database transaction.
• Orders & Tracking Full order lifecycle management — order history, order detail, live tracking timeline, cancellation, return requests, order statistics with a spending chart, and admin status update simulation.
• Stripe Payments PaymentIntent creation, Stripe Payment Sheet in Flutter, webhook handling for success/failure/refund events, partial refunds, and full payment history — all tested end-to-end.
• AI Visual Search (CLIP + pgvector) Upload any product image and find visually similar items using OpenAI’s CLIP model for image embeddings stored in PostgreSQL with pgvector. Includes HNSW indexing for sub-500ms search performance.
• LangChain AI Chat Support Agent A real AI shopping assistant built with LangChain that understands natural language, searches products with hybrid vector + keyword search, looks up orders, and returns product cards inside the chat UI — over WebSockets in real time.
• Push Notifications (Firebase FCM + Celery) Order status notifications, price drop alerts, back-in-stock alerts, promotional campaigns, quiet hours settings, per-category notification preferences, and a full notification center with deep-link routing.

Who This Course Is For:

• Flutter developers who want to go beyond basic apps and build production-grade architecture
• Django developers looking to add a mobile frontend and AI features to their skillset
• Full-stack developers who want hands-on experience with LangChain, pgvector, and real AI integration
• Developers who have done beginner courses and are ready for something that reflects real-world engineering