FastAPI Mastery Build Modern APIs with Python

What you'll learn
Understand the FastAPI framework - Learn its core features, advantages, and how it compares to other frameworks like Flask and Django.
Build and manage routes - Implement RESTful API endpoints using path, query, and parameterized routes.
Leverage Pydantic for validation - Validate and serialize input/output data with Pydantic models.
Work with request bodies and form data - Handle structured JSON inputs, multipart forms, and user-submitted data effectively.
Design response models and status codes - Standardize API responses with FastAPI response models, status codes, and custom schemas.
Implement robust error handling - Capture and return meaningful error messages with structured exception handling.
Integrate databases with FastAPI - Connect APIs to relational or NoSQL databases and perform CRUD operations.
Perform advanced database operations - Manage relationships, transactions, and queries for scalable applications.
Implement authentication - Use basic authentication to secure endpoints.
Work with JWT-based security - Apply JSON Web Token authentication for modern, stateless, and scalable API security.
Develop real-world projects - Build and deploy hands-on applications like a To-Do List API and a Book Management API.
Troubleshoot and optimize APIs - Gain confidence in debugging, testing, and optimizing FastAPI applications for production.
Requirements
Enthusiasm and determination to make your mark on the world!
Description
A warm welcome to the FastAPI Mastery: Build Modern APIs with Python 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 WorksAt 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 FastAPIFastAPI 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 DescriptionIn 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 LearnBy completing this course, you will be able to:Set up and configure FastAPI for professional API developmentBuild and manage routes with query parameters, path parameters, and dynamic routingValidate and serialize data using Pydantic modelsHandle request bodies, form data, and user-submitted input efficientlyDesign clean and standardized response models with appropriate status codesImplement robust error handling and exception responsesIntegrate APIs with databases and perform CRUD operationsManage advanced database operations including relationships and transactionsImplement authentication mechanisms with Basic Auth and JWT tokensSecure APIs and protect sensitive endpointsBuild and deploy real-world projects like a To-Do List API and Book Management APITroubleshoot, debug, and optimize FastAPI applications for productionRequirementsBasic knowledge of Python programming (functions, classes, modules)Familiarity with HTTP concepts (GET, POST, status codes) is helpful but not mandatoryA computer with Python 3.7+ installedNo prior web framework experience required (Flask/Django knowledge is a plus)Who This Course is ForThis course is designed forython developers who want to learn modern API developmentWeb developers familiar with Flask/Django who want to upgrade to FastAPIBackend engineers building microservices or REST APIsData scientists/ML engineers deploying models through APIsStudents & beginners in web development who want practical, hands-on API building experienceFreelancers & indie hackers building MVPs and SaaS products quicklyFastAPI Mastery: Build Modern APIs with Python - Course CurriculumModule 1: Introduction to FastAPILecture 1: Getting Started with FastAPIModule 2: Routing and ParametersLecture 2: Routing and Parameters (Part 1)Lecture 3: Routing and Parameters (Part 2)Module 3: Data Validation with PydanticLecture 4: Data Validation with Pydantic (Part 1)Lecture 5: Data Validation with Pydantic (Part 2)Module 4: Handling RequestsLecture 6: Request Bodies and Form Data (Part 1)Lecture 7: Request Bodies and Form Data (Part 2)Module 5: Responses and Status CodesLecture 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 HandlingLecture 11: Error Handling (Part 1)Lecture 12: Error Handling (Part 2)Lecture 13: Error Handling (Part 3)Module 7: API DevelopmentLecture 14: Basic API Development TutorialLecture 15: Database IntegrationLecture 16: Advanced Database OperationsModule 8: Authentication and SecurityLecture 17: Basic AuthenticationLecture 18: JWT Authentication using FastAPIModule 9: ProjectsLecture 19: To-Do List ProjectLecture 20: Simple Book Management APIModule 10: Wrap-UpLecture 21: Common Questions and Answers on FastAPI
Who this course is for
Python Developers - Beginners to intermediate Python programmers who want to transition into API development.
Web Developers - Those already familiar with frameworks like Flask or Django and looking to upgrade to FastAPI for modern, async-friendly APIs.
Backend Engineers - Developers interested in building lightweight, scalable, and production-ready APIs.
Data Scientists & ML Engineers - Professionals who want to deploy ML models or data pipelines as APIs using FastAPI.
Students & Learners - Computer science or IT students who want a hands-on understanding of building RESTful APIs.
Freelancers & Developers aiming to quickly build MVPs, SaaS products, or personal projects with FastAPI.
Software Engineers in Startups - Need to build APIs quickly, efficiently, and securely.
Enterprise Developers - Working on microservices architectures and looking for faster alternatives to Flask/Django.
API & Integration Developers - Professionals creating integrations, middleware, or backend services.
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