PYTHON REST API COURSE
Learn to design, build, secure, test and deploy REST APIs in Python using FastAPI and Django REST Framework, with live mentor feedback and portfolio projects.
HTTP and REST principles, request and response design, status codes, pagination, filtering and versioning. You then implement them in FastAPI for async, type-hinted APIs and in Django REST Framework for batteries-included, admin-backed services.
Model data with SQL databases and an ORM, validate input with Pydantic or serializers, and secure endpoints with token-based authentication, permissions and sensible error handling.
Write automated tests for endpoints, document your API with OpenAPI, containerise the service and deploy it, so the project you show an interviewer actually runs.
Learners coming from Java often ask how this compares to Spring Boot. FastAPI and Django REST cover the same ground, with far less boilerplate and a faster path from idea to working endpoint, which is why Python is popular for startups, data products and AI backends.
COMMON QUESTIONS
FastAPI suits lightweight, high-performance and async services with automatic docs. Django REST Framework suits larger products that need an ORM, admin and authentication out of the box. The course teaches how to choose.
Basic Python is enough. If you are new, start with Python Programming and move into APIs afterwards.
Yes. Learners build and deploy an API with authentication, a database and tests, which becomes a portfolio piece.
If your goal is backend and API development, Python with FastAPI or Django is a faster route and widely used in industry, especially alongside data and AI work.
