FastAPI Basics
Master FastAPI fundamentals step-by-step. Build your first API with clear guidance, helpful hints, and immediate feedback. Perfect for beginners!
- lessons
- 45
- level
- beginner
- time
- 42 hours
- price
- free
What you'll learn
- Create a minimal FastAPI application
- Understand the basic FastAPI structure
- Create a simple path operation
- Return JSON responses automatically
- Understand what path parameters are and why they're useful
- Create endpoints with dynamic URL paths
- Use type hints for automatic validation
- Handle different data types in path parameters
- Understand what query parameters are and how they work
- Create endpoints that accept optional query parameters
- Set default values for query parameters
- Use type hints for automatic query parameter validation
Lessons
Each lesson runs a real FastAPI server in the browser and grades your code against its own endpoints.
- 01
First Steps
Create your first FastAPI application following the official tutorial. Learn the simplest possible FastAPI file and understand the basic concepts.
Read the theory - 02
Path Parameters
Learn to create dynamic URLs that accept parameters. Build endpoints that can handle user IDs, product names, and other variable data in the URL path.
Read the theory - 03
Query Parameters
Learn to handle query parameters in URLs. Create flexible endpoints that accept optional parameters for filtering, pagination, and customization.
Read the theory - 04
Request Body
Learn to handle POST requests with data in the request body using Pydantic models. Create endpoints that can receive and validate complex data structures.
Read the theory - 05
Query Parameters and String Validations
Learn advanced query parameter features with validation, constraints, and metadata. Add length limits, regex patterns, and documentation to your query parameters.
Read the theory - 06
Path Parameters and Numeric Validations
Learn to add validation constraints to path parameters using Path(). Set numeric ranges, add documentation, and create robust path parameter validation.
Read the theory - 07
Body - Multiple Parameters
Master all aspects of FastAPI's Body - Multiple Parameters following the complete official tutorial. Learn to mix parameters, use multiple body params, singular values, and more.
Read the theory - 08
Body - Fields
Learn to add validation and metadata to Pydantic model fields using Field(). Master field-level constraints, descriptions, and advanced validation.
Read the theory - 09
Body - Nested Models
Master complex nested data structures with FastAPI and Pydantic. Learn to use lists, sets, nested models, and deeply nested structures for powerful APIs.
Read the theory - 10
Extra Data Types
Explore FastAPI's support for advanced Python data types including UUID, datetime, timedelta, bytes, Decimal, and more with automatic validation and conversion.
Read the theory - 11
Cookie Parameters
Learn to read and validate HTTP cookies in your FastAPI endpoints using the Cookie class.
Read the theory - 12
Header Parameters
Learn to read and validate HTTP headers using FastAPI's Header class. Handle common headers and custom X- headers.
Read the theory - 13
Query Parameter Models
Group related query parameters into a Pydantic model for cleaner code and better organization.
Read the theory - 14
Cookie Parameter Models
Group cookie parameters into Pydantic models for structured access to multiple cookies at once.
Read the theory - 15
Header Parameter Models
Group header parameters into Pydantic models for organized access to multiple headers at once.
Read the theory - 16
Response Model - Return Type
Learn to declare response models using return type annotations and the response_model parameter for data validation, documentation, and filtering.
Read the theory - 17
Extra Models
Learn to create multiple related models for different use cases, reduce code duplication through inheritance, and handle Union types for flexible responses.
Read the theory - 18
Response Status Code
Learn how to specify HTTP status codes for your API responses using the status_code parameter and FastAPI status constants.
Read the theory - 19
Request Forms
Learn how to receive form data instead of JSON using FastAPI's Form class for handling HTML form submissions.
Read the theory - 20
Request Files
Learn how to handle file uploads in FastAPI using File and UploadFile for receiving files from clients.
Read the theory - 21
Request Forms and Files
Learn to handle file uploads and form data together in a single request
Read the theory - 22
Request Form Models
Declare form fields as Pydantic models instead of individual Form() parameters for cleaner form handling.
Read the theory - 23
Handling Errors
Learn to handle errors gracefully in FastAPI using HTTPException and custom error handlers
Read the theory - 24
Path Operation Configuration
Learn to configure path operations with status codes, tags, descriptions, and metadata.
Read the theory - 25
Schema Extra - Examples
Provide example data for your API documentation using Pydantic model_config and OpenAPI examples.
Read the theory - 26
JSON Compatible Encoder
Learn to convert Pydantic models to JSON-compatible data for database storage using jsonable_encoder.
Read the theory - 27
Body - Updates
Learn how to update data using PUT for full replacement and PATCH for partial updates in FastAPI.
Read the theory - 28
Dependencies - First Steps
Learn FastAPI's dependency injection system to share logic and create reusable components.
Read the theory - 29
Classes as Dependencies
Learn how to use Python classes as dependencies for better type support and code organization.
Read the theory - 30
Dependencies - Sub-dependencies
Learn how to create dependencies that have sub-dependencies for arbitrarily deep dependency graphs.
Read the theory - 31
Dependencies - Path Operation Decorators
Learn how to add dependencies to path operation decorators without passing their return values to the function.
Read the theory - 32
Dependencies - Global Dependencies
Learn how to apply dependencies to all path operations in a FastAPI application globally.
Read the theory - 33
Dependencies with Yield
Learn to create dependencies that perform cleanup operations using yield for resource management.
Read the theory - 34
Security - First Steps
Implement basic OAuth2 security with FastAPI's OAuth2PasswordBearer class.
Read the theory - 35
Security - Get Current User
Learn how to create user models and dependencies to get the current authenticated user in FastAPI endpoints
Read the theory - 36
- 37
Security - OAuth2 with JWT Tokens
Implement secure authentication using JWT tokens with password hashing and OAuth2 Bearer authentication.
Read the theory - 38
Middleware Basics
Learn how to create and use middleware to process requests and responses in FastAPI applications.
Read the theory - 39
CORS Middleware
Learn how to handle Cross-Origin Resource Sharing in FastAPI with CORSMiddleware.
Read the theory - 40
SQL Databases with SQLModel
Learn to integrate SQL databases with FastAPI using SQLModel for data persistence and CRUD operations.
Read the theory - 41
Bigger Applications - Multiple Files
Learn to structure larger FastAPI applications using APIRouter, multiple files, and proper Python package organization.
Read the theory - 42
Background Tasks
Learn to run operations in the background after returning a response, perfect for tasks like sending emails or processing data.
Read the theory - 43
Metadata and Docs URLs
Learn to customize API metadata, documentation, and OpenAPI configuration for professional API presentation.
Read the theory - 44
Static Files
Learn to serve static files like HTML, CSS, and JavaScript using FastAPI's StaticFiles mount.
Read the theory - 45
Testing
Learn how to test FastAPI applications using TestClient for reliable and maintainable code.
Read the theory
Other tracks
- Build a Blog API with AuthenticationMaster advanced FastAPI concepts by building a complete blog API with user authentication, file uploads, and robust error handling. Learn Pydantic models, database integration, JWT auth, and more.6 lessons · intermediate
- Advanced FastAPI PatternsMaster advanced FastAPI patterns including async programming, WebSockets, custom middleware, rate limiting, caching, and API versioning. Build production-ready APIs.10 lessons · advanced
