Practice Exam, Video Course
REST API Development using FastAPI

REST API Development using FastAPI

4.9 (1087 ratings)
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REST API Development using FastAPI

Developing REST APIs with FastAPI means creating a way for different applications to exchange data smoothly and efficiently. REST APIs act like bridges that connect apps, letting them share information—like when a mobile app pulls your account details from a server. FastAPI is a tool that makes building these bridges faster and more reliable.

With FastAPI, developers can design APIs that are easy to use, fast to run, and clear to maintain. It helps set up how data is sent back and forth between systems, allowing apps to interact in real time. It’s a powerful choice for anyone building apps that rely on smooth and secure communication between parts.

Who should take the Exam?

This exam is ideal for:

  • Backend developers 
  • API developers 
  • Full-stack developers 
  • Software engineers 
  • DevOps engineers 
  • Students and professionals learning modern Python frameworks
  • Data engineers 
  • Tech entrepreneurs developing MVPs or SaaS APIs

Skills Required

  • Basic knowledge of Python programming
  • Familiarity with HTTP and web development concepts
  • Understanding of RESTful architecture
  • Comfort with data formats like JSON
  • Exposure to asynchronous programming is helpful

Course Outline

Domain 1 - Introduction to RESTful APIs
Domain 2 - Getting Started with FastAPI
Domain 3 - Request Handling in FastAPI
Domain 4 - Response Management
Domain 5 - Validation and Serialization with Pydantic
Domain 6 - Asynchronous Programming
Domain 7 - Authentication and Security
Domain 8 - Database Integration
Domain 9 - Middleware and Background Tasks
Domain 10 - Testing and Debugging APIs
Domain 11 - API Documentation and OpenAPI
Domain 12 - Deployment and DevOps

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How learners rated this courses

4.9

(Based on 1087 reviews)

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REST API Development using FastAPI FAQs

Yes. FastAPI supports asynchronous routes using async/await, and the course will typically explain how to use this efficiently.

Yes. FastAPI is often used to serve ML models via APIs due to its speed and flexibility.
 

Pydantic, SQLAlchemy, Alembic, PostgreSQL, Docker, and Uvicorn (ASGI server).

Yes. API development is a core backend skill, and expertise in FastAPI adds a modern, in-demand framework to your toolkit.

Python developers, backend engineers, software engineers, and data engineers aiming to build scalable and efficient APIs.

Backend Developer, API Developer, Full Stack Developer, Software Engineer, and DevOps Engineer.

Building REST APIs, request handling, input validation, dependency injection, authentication, async programming, and API documentation.

Absolutely. FastAPI is ideal for building lightweight, high-performance services quickly — perfect for MVPs and scalable apps.

RESTful APIs for web/mobile apps, internal tools, data services, AI model endpoints, and microservices for distributed systems.

Yes. Companies increasingly use FastAPI for microservices, ML model deployment, and scalable backend systems due to its performance and developer-friendly design.

FastAPI is a modern, high-performance Python web framework for building RESTful APIs, known for its speed, intuitive syntax, and automatic documentation.

FastAPI is asynchronous, faster, type-safe (thanks to Pydantic), and designed for modern API standards like OpenAPI and JSON Schema.

Very. Its growing adoption and alignment with modern Python standards make it a future-ready choice for API development.

Yes. FastAPI works well with AWS, Azure, GCP, and DevOps tools like Docker, Kubernetes, and GitHub Actions for deployment pipelines.