Udemy – FastAPI Modern Python Backend and API Development
English | Tutorial | Size: 4.92 GB
Master FastAPI by building real-world APIs with Python, Pydantic, JWT, and database integration step by step.
A warm welcome to the FastAPI – Modern Python Backend and API Development course by Uplatz.
What is FastAPI?
FastAPI is a modern, high-performance web framework for building APIs with Python 3.7+, based on standard Python type hints. FastAPI is one of the fastest-growing web frameworks in the Python ecosystem. Known for its speed, simplicity, and production readiness, FastAPI makes it easier than ever to build scalable and high-performance RESTful APIs.
It is designed to be:
Fast → Built on Starlette (for web handling) and Pydantic (for data validation), making it one of the fastest Python frameworks available.
Easy to use → Its declarative style with type hints makes APIs quick to develop and maintain.
Data validation ready → Every request and response can be automatically validated against Pydantic models.
Production-ready → Includes built-in support for async, OpenAPI documentation, and OAuth2/JWT security.
How FastAPI Works
At its core, FastAPI integrates:
Starlette → Handles HTTP requests, routing, and background tasks.
Pydantic → Handles serialization, deserialization, and validation of request/response data.
Python type hints → Used to automatically generate request validation rules and API documentation.
Automatic docs → Built-in OpenAPI and Swagger UI docs are generated without extra configuration.
Real-World Applications Built with FastAPI
FastAPI is used by startups and enterprises alike because of its speed, scalability, and simplicity. Some well-known real-world uses:
Netflix → Uses FastAPI for asynchronous event-driven systems in their internal data platform.
Uber → Employs FastAPI for parts of its machine learning platform to handle high-throughput requests.
Microsoft → Uses FastAPI in their production services for building APIs at scale.
Explosion AI (spaCy creators) → Built the API behind spaCy, Prodigy, and other NLP tools using FastAPI.
Data Science & ML Teams → Widely use FastAPI to serve ML models as REST APIs, especially with frameworks like PyTorch and TensorFlow.
Finance & Healthcare Apps → Because of its speed and validation, it’s popular for fintech APIs and HIPAA-compliant healthcare APIs.
Course Description
In this hands-on course, you’ll learn everything from the basics of routing and request handling to advanced database integration and JWT authentication. Each module is carefully structured with step-by-step lectures, coding exercises, and real-world projects to give you practical experience that you can apply immediately.
By the end of this course, you will have built multiple working APIs – including a To-Do List App and a Book Management API – and you’ll be fully equipped to create and secure your own APIs for professional or personal projects.
Whether you’re a Python developer, backend engineer, or a data scientist looking to deploy ML models, this course will give you the skills to confidently design, build, and scale APIs with FastAPI.
Why Take This Course?
There are many tutorials on FastAPI, but most leave you with incomplete knowledge or outdated practices. This course is:
Comprehensive – covers everything from basics to advanced concepts like JWT authentication and database operations.
Hands-On – you’ll build multiple real-world projects, not just toy examples.
Beginner-Friendly but Practical – starts from scratch yet equips you with skills that scale to professional use cases.
Production-Oriented – focuses on best practices like data validation, error handling, and secure authentication.
If you want to master FastAPI with confidence and start building real applications, this course is the most practical way forward.
What You’ll Learn
By completing this FastAPI course, you will be able to:
Set up and configure FastAPI for professional API development
Build and manage routes with query parameters, path parameters, and dynamic routing
Validate and serialize data using Pydantic models
Handle request bodies, form data, and user-submitted input efficiently
Design clean and standardized response models with appropriate status codes
Implement robust error handling and exception responses
Integrate APIs with databases and perform CRUD operations
Manage advanced database operations including relationships and transactions
Implement authentication mechanisms with Basic Auth and JWT tokens
Secure APIs and protect sensitive endpoints
Build and deploy real-world projects like a To-Do List API and Book Management API
Troubleshoot, debug, and optimize FastAPI applications for production
Requirements
Basic knowledge of Python programming (functions, classes, modules)
Familiarity with HTTP concepts (GET, POST, status codes) is helpful but not mandatory
A computer with Python 3.7+ installed
No prior web framework experience required (Flask/Django knowledge is a plus)
Who This Course is For
This course is designed for:
Python developers who want to learn modern API development
Web developers familiar with Flask/Django who want to upgrade to FastAPI
Backend engineers building microservices or REST APIs
Data scientists/ML engineers deploying models through APIs
Students & beginners in web development who want practical, hands-on API building experience
Freelancers & indie hackers building MVPs and SaaS products quickly
FastAPI – Modern Python Backend and API Development – Course Curriculum
Module 1: Introduction to FastAPI
Lecture 1: Getting Started with FastAPI
Module 2: Routing and Parameters
Lecture 2: Routing and Parameters (Part 1)
Lecture 3: Routing and Parameters (Part 2)
Module 3: Data Validation with Pydantic
Lecture 4: Data Validation with Pydantic (Part 1)
Lecture 5: Data Validation with Pydantic (Part 2)
Module 4: Handling Requests
Lecture 6: Request Bodies and Form Data (Part 1)
Lecture 7: Request Bodies and Form Data (Part 2)
Module 5: Responses and Status Codes
Lecture 8: Response Models and Status Codes (Part 1)
Lecture 9: Response Models and Status Codes (Part 2)
Lecture 10: Response Models and Status Codes (Part 3)
Module 6: Error Handling
Lecture 11: Error Handling (Part 1)
Lecture 12: Error Handling (Part 2)
Lecture 13: Error Handling (Part 3)
Module 7: API Development
Lecture 14: Basic API Development Tutorial
Lecture 15: Database Integration
Lecture 16: Advanced Database Operations
Module 8: Authentication and Security
Lecture 17: Basic Authentication
Lecture 18: JWT Authentication using FastAPI
Module 9: Projects
Lecture 19: To-Do List Project
Lecture 20: Simple Book Management API
Module 10: Wrap-Up
Lecture 21: Common Questions and Answers on FastAPI
DOWNLOAD:
RAPIDGATOR:
rapidgator.net/file/124ee621c743885becf3d7e69b490847/Udemy.FastAPI.Modern.Python.Backend.and.API.Development.BOOKWARE-BOOKTIME.part1.rar.html
rapidgator.net/file/6b2c69e82fc3c083b5ca2221e3d70bcc/Udemy.FastAPI.Modern.Python.Backend.and.API.Development.BOOKWARE-BOOKTIME.part2.rar.html
rapidgator.net/file/c3f893dd7b44c9ffc87fb17bf3982a37/Udemy.FastAPI.Modern.Python.Backend.and.API.Development.BOOKWARE-BOOKTIME.part3.rar.html
rapidgator.net/file/f0f881707ac81cba04e981348f7f3f0b/Udemy.FastAPI.Modern.Python.Backend.and.API.Development.BOOKWARE-BOOKTIME.part4.rar.html
NITROFLARE:
nitroflare.com/view/EA99C494A50F36A/Udemy.FastAPI.Modern.Python.Backend.and.API.Development.BOOKWARE-BOOKTIME.part1.rar
nitroflare.com/view/2D95B8278B66090/Udemy.FastAPI.Modern.Python.Backend.and.API.Development.BOOKWARE-BOOKTIME.part2.rar
nitroflare.com/view/FB1DA7F5D818B6B/Udemy.FastAPI.Modern.Python.Backend.and.API.Development.BOOKWARE-BOOKTIME.part3.rar
nitroflare.com/view/2DDEA2469EB3C47/Udemy.FastAPI.Modern.Python.Backend.and.API.Development.BOOKWARE-BOOKTIME.part4.rar