FastAPI From Scratch Build a Complete E-Commerce REST API
Published 8/2026
Created by Ashok Zarmariya
MP4 | Video: h264, 2560×1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 114 Lectures ( 30h 29m ) | Size: 26.8 GB
Learn FastAPI from scratch with PostgreSQL, SQLAlchemy, JWT, testing, and Docker by building a real e-commerce API.
What you’ll learn
Build a complete e-commerce REST API from scratch using Python and FastAPI.
Design maintainable FastAPI applications using routers, schemas, database models, configuration, and dependency injection.
Create and validate REST endpoints using path parameters, query parameters, request bodies, response models, and Pydantic.
Connect FastAPI to PostgreSQL with SQLAlchemy and implement CRUD operations, database sessions, and table relationships.
Manage database schema changes by creating, applying, and reversing Alembic migrations.
Implement secure registration and login with password hashing, JWT authentication, current-user dependencies, and protected routes.
Create role-based authorization that provides different permissions for administrators and customers.
Develop product and category management with search, filtering, sorting, pagination, and product-image uploads.
Build complete shopping-cart, order-processing, order-history, order-status, and stock-management workflows.
Handle validation errors, custom exceptions, CORS, environment variables, and common REST API security risks.
Write automated tests with Pytest for API endpoints, authentication, database operations, shopping carts, and orders.
Containerize FastAPI and PostgreSQL with Docker Compose and prepare the e-commerce API for production deployment.
Requirements
Basic knowledge of Python, including variables, functions, classes, lists, and dictionaries.
A willingness to code along and practice.
Description
Learn FastAPI from the ground up by building a complete, real-world e-commerce REST API with Python, PostgreSQL, SQLAlchemy, JWT authentication, Docker, and deployment.
This is a practical, project-based course. You will begin with the fundamentals of APIs and FastAPI, then gradually develop a structured e-commerce backend containing products, categories, users, authentication, shopping carts, orders, stock management, image uploads, and more.
Instead of learning disconnected concepts, you will see how each feature fits into a complete backend application.
What You Will Build
By the end of the course, you will have created a complete e-commerce REST API featuring
User registration and login
Secure password hashing
JWT authentication
Protected API endpoints
Admin and customer roles
Role-based authorization
Product and category management
Product search, filtering, sorting, and pagination
Shopping-cart management
Order creation and order history
Product stock management
PostgreSQL database integration
SQLAlchemy models and relationships
Alembic database migrations
Docker and Docker Compose configuration
Interactive Swagger and ReDoc documentation
Production deployment preparation
Your Step-by-Step Learning Journey
1. Understand Web and API Fundamentals
You will first understand how the web works, including HTTP requests, responses, methods, status codes, headers, JSON, APIs, and REST API principles. You will also learn how to test APIs using tools such as Postman or Insomnia.
2. Create Your First FastAPI Application
You will install FastAPI and Uvicorn, create your first application, run a development server, build API endpoints, return JSON responses, and explore automatic documentation using Swagger UI and ReDoc.
3. Work With Requests and Data Validation
You will learn how to use path parameters, query parameters, request bodies, response models, nested schemas, validation rules, optional values, and constraints using Pydantic.
4. Structure a Professional FastAPI Project
You will organize the application using routers, schemas, models, configuration files, environment variables, and dependency injection. This structure will make the project easier to maintain, test, and extend.
5. Connect FastAPI to PostgreSQL
You will connect the application to PostgreSQL using SQLAlchemy and Psycopg. You will create database models, manage sessions, implement CRUD operations, handle database errors, and build relationships between tables.
6. Manage Database Migrations
You will use Alembic to create, apply, update, and reverse database migrations safely as the application evolves.
7. Build the Product System
You will create products and categories, implement complete CRUD operations, and add practical features such as search, filtering, pagination, and sorting.
8. Add Authentication and Authorization
You will build user registration and login, hash passwords securely, generate and validate JWT access tokens, protect endpoints, retrieve the current user, and control access using admin and customer roles.
9. Develop Shopping Cart and Order Features
You will create cart and cart-item models, add products to a cart, update quantities, remove items, place orders, preserve product-price snapshots, manage order history, update order statuses, and control product stock.
10. Improve Security and Error Handling
You will handle HTTP and validation errors, create custom exception handlers, configure CORS, protect environment variables, understand SQL injection prevention, and learn about common API security mistakes.
11. Add File Uploads and Extra Features
You will implement product image uploads, validate uploaded files, serve static files, work with background tasks, and understand email-sending workflows.
12. Dockerize and Deploy the API
You will create a Dockerfile, configure Docker Compose, run FastAPI with PostgreSQL, manage production environment variables and migrations, inspect logs, and prepare the application for deployment.
What You Will Gain
After completing this course, you will be able to
Build modern REST APIs using Python and FastAPI
Design maintainable backend project structures
Validate request and response data with Pydantic
Work confidently with PostgreSQL and SQLAlchemy
Design relational database models
Manage schema changes with Alembic
Implement secure JWT authentication
Create role-based authorization systems
Develop real-world shopping-cart and order workflows
Containerize backend applications with Docker
Document and prepare APIs for production deployment
Create a portfolio-ready backend project
Prerequisites
To follow this course, you should have
Basic knowledge of Python
A willingness to code along and practice
You donot need previous experience with FastAPI, PostgreSQL, SQLAlchemy, Alembic, JWT. These technologies are introduced step by step throughout the course.
Start learning FastAPI today and build a complete e-commerce backend that demonstrates practical, job-ready Python API development skills.
Who this course is for
Python beginners who understand the basics and want to enter backend development.
Anyone who wants a strong FastAPI foundation for building e-commerce platforms and future AI-powered services.
AI and machine-learning developers who want to expose models through secure REST APIs.
Developers interested in building backends for AI agents, LLM applications, RAG systems, chatbots, and automation tools.
Aspiring backend developers who want to build a portfolio-ready FastAPI e-commerce project.
Students and freelancers seeking practical experience with PostgreSQL, SQLAlchemy, JWT, and Docker.
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