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Building REST APIs with FastAPI using Python | Hands-On
New
Rating: 4.5 out of 5(2 ratings)
100 students

Building REST APIs with FastAPI using Python | Hands-On

Learn FastAPI from Scratch to Build Modern, Secure, and Production-Ready REST APIs with Python Through Hands-On Projects
Created byYogesh Raheja
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Understand what an API is and why it's essential in modern software development
  • Explore REST principles and HTTP methods — the foundation of all modern APIs
  • Build complete REST API endpoints with FastAPI — the fastest Python framework for API development
  • Handle path parameters, query parameters, and request bodies efficiently
  • Validate and structure data using Pydantic models
  • Connect your APIs to databases using SQLAlchemy ORM
  • Implement authentication and security — password hashing with bcrypt, JWT tokens, and protected routes
  • Understand session management, cookies, and secure token handling
  • Create interactive API documentation automatically with FastAPI's Swagger UI
  • Handle errors gracefully with proper HTTP status codes and error messages
  • Deploy your API to the cloud using modern platforms like Railway, AWS, Heroku & Render
  • Complete a hands-on capstone project — building a Secure User Authentication API end-to-end

Course content

8 sections36 lectures2h 50m total length
  • Course Introduction3:10
  • Course Material - Building REST APIs with FastAPI using Python | Hands-On0:07

Requirements

  • No prior API development experience needed
  • Basic Python familiarity is helpful
  • Python and required tools can be set up for free - covered in the course
  • A code editor (VS Code) and terminal - no special software needed

Description

APIs power modern applications - everything from mobile apps and web services to AI systems and real-time data processing. FastAPI is one of the fastest, most modern frameworks for building these APIs in Python.


What's in this course?

In this course, you'll learn API development from the ground up using FastAPI - with a strong focus on building real understanding and hands-on skills, not just theoretical knowledge. You'll start with the fundamentals of APIs and REST - understanding what an API is, how REST principles guide modern API design, and why FastAPI is the right tool for the job.


From there, you'll walk through building complete API endpoints - handling different types of parameters, processing request bodies, validating data with Pydantic models, and implementing all CRUD operations - all through practical Python demonstrations. You'll then explore a real-world use case - building an AI Resume Parser that demonstrates how to integrate with external APIs like OpenAI or Gemini and process complex data in production.


Next, you'll master Database Integration - connecting your APIs to SQLite and PostgreSQL, performing CRUD operations, and managing persistent data effectively. You'll then focus on Authentication and Security — understanding password hashing, JWT tokens, protected routes, and session management - the critical skills for building secure backend systems that protect user data. You'll bring everything together in a hands-on capstone project where you'll build a complete Secure User Authentication API from scratch, integrating databases, security layers, and production best practices.


Finally, you'll explore FastAPI Deployment - understand about deploying to modern cloud platforms like Railway, AWS, and Heroku, deploy fastAPI application on Render & making your API accessible to real users worldwide. All topics are taught through concept-based lectures and real hands-on demonstrations, so you don't just understand the theory - you know how to build and deploy production-ready APIs.


Course Structure

  • Concepts

  • Hands-on Demonstrations

  • End-to-End Capstone projects


Course Contents

  • Course Introduction and Tool Setup

  • REST principles and HTTP methods

  • Introduction to FastAPI and How It Differs from REST API

  • Building API Endpoints

    - Path parameters

    - Query parameters

    - POST request and Request bodies

    - Pydantic Models for Validation

    - GET, POST, PUT, and DELETE Endpoints

    - Response Models and Status Codes

    - Error Handling and Status Codes

  • AI RESUME PARSER - Use Case

  • Connecting endpoints to databases

  • Authentication and Security

    - Password hashing with bcrypt

    - JWT tokens

    - Handling cookies and session management

  • End-to-End Capstone project - Building a Secure Authentication API


By the end of this course, you'll have a solid foundation in API development and the practical skills to confidently build, secure, and deploy REST APIs for real-world applications.

Who this course is for:

  • Beginners who want a structured, step-by-step introduction to API development
  • Python developers looking to transition into backend development
  • Students who prefer practical, demo-driven learning over theory-heavy courses
  • Full-stack developers wanting to strengthen their backend skills
  • Anyone curious about how modern APIs, authentication systems, and web services actually work