FastAPI: Build, Validate, Authenticate, Deploy Python APIs

Master FastAPI to build modern, high-performance Python APIs covering routing, validation, databases, and authentication

What you'll learn
- Understand the fundamentals of FastAPI and set up a development environment for building modern APIs.
- Implement routing and parameter handling using path and query parameters, including advanced use cases.
- Leverage Pydantic for robust data validation with both built-in and custom validation methods.
- Work with request bodies, form data, and file uploads using FastAPI’s declarative approach.
- Design and implement response models using Pydantic V2, and manage status codes and custom headers.
- Generate interactive API documentation using FastAPI’s built-in OpenAPI and JSON Schema support.
- Handle errors effectively with built-in and custom exception handlers, including global error management.
- Build a fully functional API project from initial design to implementation following best practices.
- Integrate relational databases with FastAPI using SQLAlchemy for CRUD operations.
- Perform advanced database operations such as relationships, joins, transactions, and optimization.
- Implement basic authentication methods to secure API endpoints.
- Implement JWT-based authentication for token-based, secure user management.
- Develop complete project-based APIs like a To-Do List app and a Book Management system.
- Apply best practices in API development including modular design, scalability, and maintainability.
- Address common developer questions and strengthen understanding through hands-on exercises and Q&A sessions.

Requirements
- Enthusiasm and determination to make your mark on the world!

Description
A warm welcome to theFastAPI: Build, Validate, Authenticate, Deploy Python APIscourse byUplatz.

FastAPIis a modern, high-performance web framework for building APIs with Python 3.7+ using standard Python type hints. It’s designed to create RESTful APIs quickly, efficiently, and with minimal code, while providing automatic validation, serialization, and interactive documentation out of the box.

It’s built on top of:Starlette→ for the web parts (routing, middleware, etc.)Pydantic→ for data validation and settings management

How Does FastAPI Work?

Python Type Hints:FastAPI uses Python’s type hints to automatically generate request parsing, validation, and response serialization.

Async Support:It fully supports async and await, making it great for building non-blocking, high-concurrency applications.

Auto-generated Docs:FastAPI auto-generates interactive API docs usingOpenAPI(Swagger UI and ReDoc) — without extra work.

Declarative Approach:You define what data is expected, and FastAPI handles parsing, validation, error responses, and docs generation behind the scenes.

Key Features of FastAPI

Fast Performance→ Asynchronous framework with performance close to Node.js and Go.

Pythonic and Intuitive→ Leverages Python 3.7+ type hints for clear, readable, and concise code.

Automatic Data Validation→ Pydantic ensures all incoming data matches declared types and schemas.

Interactive API Documentation→ Built-in Swagger UI and ReDoc interfaces auto-generated from code.

Dependency Injection System→ Makes complex dependency management clean and easy.

Easy Integration with Databases→ Supports tools like SQLAlchemy, Tortoise ORM, and async DB libraries.

Security and Auth Support→ Includes built-in tools for OAuth2, JWT, and other authentication flows.

Extensible and Modular→ Works well in both monolithic apps and microservice architectures.

Great for Production→ Actively used by companies like Uber, Netflix, and Microsoft for production APIs.

FastAPI - Course Curriculum

Module 1: Introduction and Foundations

Getting StartedIntroduction and primer to FastAPI. Setting up the development environment and understanding the framework’s core philosophy.

Module 2: Routing and Parameters

Routing and Parameters (Part 1)Explore different routing methods using hands-on examples.

Routing and Parameters (Part 2)Deep dive into path parameters, query parameters, and input validations.

Module 3: Data Validation with Pydantic

Data Validation with Pydantic (Part 1)Learn types of data validations using Pydantic models with hands-on practice.

Data Validation with Pydantic (Part 2)Explore advanced validation techniques and custom validators.

Module 4: Request Bodies and Form Data

Request Bodies and Form Data (Part 1)Work with JSON request bodies, form data, and file uploads.

Request Bodies and Form Data (Part 2)Continue hands-on exploration of multipart requests and complex data inputs.

Module 5: Responses and Status Codes

Response Models and Status Codes (Part 1)Build response models with Pydantic V2 and handle serialization.

Response Models and Status Codes (Part 2)Understand HTTP status codes and apply custom response headers.

Response Models and Status Codes (Part 3)Define response schemas and auto-generate API documentation.

Module 6: Error Handling

Error Handling (Part 1)Learn basic error handling techniques with practical examples.

Error Handling (Part 2)Implement custom exceptions and global error handlers.

Error Handling (Part 3)Combine strategies into best practice error management patterns.

Module 7: API Development Project

Basic API Development TutorialCreate a basic API development project, from planning to execution.

Module 8: Database Integration

Database IntegrationIntegrate FastAPI with databases using SQLAlchemy and perform CRUD operations.

Advanced Database OperationsHandle relationships, joins, transactions, and optimizations in database interactions.

Module 9: Authentication

Basic AuthenticationImplement simple authentication techniques for securing endpoints.

JWT Authentication using FastAPIBuild robust JWT-based authentication and authorization systems.

Module 10: Hands-on Projects

To-Do List ProjectBuild a functional to-do list API with full CRUD capabilities.

Simple Book Management APIDevelop a book management system API with real-world features.

Module 11: Wrap-up and Practice

Common Questions and AnswersReview common developer questions and reinforce learning with practice exercises.

Benefits of Learning FastAPI

High Performance, Fast ExecutionFastAPI is one of the fastest Python frameworks, thanks to its asynchronous support, making it ideal for scalable, high-concurrency applications.

Modern, Future-Proof DesignBuilt for Python 3.7+, FastAPI leverages modern Python features like type hints and async/await, aligning with current and future development best practices.

Automatic Validation and SerializationWith Pydantic integration, FastAPI offers powerful, automatic data validation and serialization, reducing bugs and significantly cutting development time.

Interactive, Auto-Generated DocumentationFastAPI automatically generates professional, interactive API documentation using OpenAPI (Swagger) and ReDoc, with no extra configuration needed.

Ease of Use and Developer ProductivityIts intuitive, declarative style allows developers to write less boilerplate code and focus on solving core problems, improving overall productivity.

Strong Ecosystem IntegrationFastAPI easily connects with tools like SQLAlchemy, background tasks, OAuth2/JWT authentication, GraphQL, and WebSockets, supporting a wide range of use cases.

Asynchronous Support Out of the BoxUnlike many older frameworks, FastAPI fully supports asynchronous programming, making it excellent for microservices, real-time systems, and API-heavy architectures.

Scalable and Production-ReadyUsed by companies like Uber, Netflix, and Microsoft, FastAPI is trusted in production environments, meaning the skills you gain are directly applicable to industry needs.

Improves Python SkillsLearning FastAPI deepens your understanding of advanced Python features, including type hints, async programming, and dependency injection.

Opens Career OpportunitiesAs FastAPI’s popularity grows, demand is rising for developers skilled in building high-performance APIs, giving you an edge in job markets and freelance projects.

Project Portfolio BoostBy building hands-on projects, you’ll quickly create real-world applications to showcase on GitHub or in interviews, strengthening your developer portfolio.

Community and ResourcesFastAPI has a vibrant, supportive community, excellent documentation, and a rich ecosystem of tutorials and plugins to help you grow and troubleshoot effectively.

Who this course is for:
- Python Developers (Beginner to Intermediate): Those who have a solid grasp of Python basics and want to move into API development using modern, asynchronous frameworks like FastAPI.
- Backend Developers and API Engineers: Professionals looking to sharpen their RESTful API development skills, improve system performance, and apply best practices using FastAPI and Pydantic.
- Full-Stack Developers: Developers who handle both front-end and back-end tasks and need to build reliable, scalable, and secure API services to integrate with their applications.
- Software Engineers and System Architects: Those tasked with designing scalable, production-ready backend systems who want to evaluate FastAPI’s architecture, modularity, and ecosystem fit for microservices or service-oriented architectures.
- Flask and Django REST Framework Developers: Developers familiar with other Python web frameworks (Flask, Django REST) who want to explore FastAPI’s performance benefits, async capabilities, and type-driven development.
- Database-Driven Application Developers: Anyone who needs to connect APIs with relational databases (using SQLAlchemy) and perform advanced database operations, including transactions, joins, and optimizations.
- Security-Conscious Developers: Those interested in implementing authentication systems (basic auth, JWT) and learning how to secure APIs using modern techniques.
- Project Builders and Hackathon Participants: Learners who want hands-on experience building complete projects (e.g., To-Do apps, Book Management systems) that they can showcase in portfolios, GitHub profiles, or hackathons.
- Technical Leads and Team Leads: Engineers leading backend or API teams who want to understand FastAPI’s capabilities to make informed decisions on tool and framework adoption.
- Students and Career Switchers: People transitioning into backend development roles who want practical, project-based learning to build confidence and hands-on skills.
- DevOps and Cloud Engineers (Optional but Valuable): Those integrating APIs into cloud deployments or CI/CD pipelines, seeking a better understanding of how FastAPI apps are structured and maintained in production.
- Anyone Curious About Modern API Development with Python: Whether you’re self-taught or academically trained, if you’re curious about async programming, type hints, or next-gen Python frameworks — this course is for you.
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