Description
Building REST APIs with FastAPI using Python | Hands-On. This course is a comprehensive, hands-on, project-based program for learning to develop, secure, and deploy REST APIs using Python and the powerful FastAPI framework. This course is designed to teach you how to develop APIs from scratch to advanced levels using the fast and modern FastAPI framework. Today, APIs are the engine that drives modern applications, including mobile apps, web services, artificial intelligence systems, and real-time data processing. In this course, in addition to familiarizing yourself with basic API concepts and REST design principles, learners will learn the practical and applicable skills necessary to implement endpoints, manage parameters, and validate data with Pydantic models. All important CRUD operations are practically implemented with Python so that participants gain real-world experience. A key part of the course is exploring a real-world use case, building an AI resume parser, that demonstrates how to integrate with external APIs like OpenAI or Gemini. This is followed by critical database integration with SQLite and PostgreSQL, persistent data management, and security and authentication, including password hashing with bcrypt, JWT tokens, and session management. Finally, learners will implement a comprehensive project to build a secure authentication API from scratch and learn how to deploy FastAPI applications on modern cloud platforms to produce production-ready services.
What you will learn
- Understand the concept of API and its critical importance in modern software development
- Exploring REST design principles and HTTP methods as the foundation of all modern APIs
- Build complete REST API endpoints using FastAPI, the fastest Python framework
- Efficient management of path parameters, query parameters, and request bodies
- Data validation and structuring using Pydantic models
- Connecting APIs to Databases Using SQLAlchemy ORM
- Implement security and authentication including password hashing, JWT tokens, and protected routes
- Manage sessions, cookies, and securely control tokens
- Automatically generate interactive API documentation using the FastAPI framework’s Swagger UI
- Proper error handling with HTTP status codes and standard error messages
- Deploy APIs in the cloud using modern platforms such as Railway, AWS, Heroku, and Render
- Complete a comprehensive hands-on project to build a secure user authentication API from scratch
This course is suitable for people who:
- Beginners who want a structured, step-by-step introduction to the world of API development
- Python developers who want to direct their skills towards backend development
- Students who prefer practical, hands-on learning over theoretical courses
- Full-stack developers looking to strengthen their server-side and back-end skills
- Anyone curious about how modern APIs, authentication systems, and web services work
Course Description Building REST APIs with FastAPI using Python | Hands-On
- Publisher: Udemy
- Instructor: Yogesh Raheja , ThinkRook By Thinknyx Technologies
- Training level: Beginner to advanced
- Training duration: 2 hours and 50 minutes
- Number of lessons: 35
Course syllabus in 2026/8
Prerequisites for the Building REST APIs with FastAPI using Python | Hands-On course
- 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
Course images
Sample course video
Installation Guide
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Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.3 GB