Securing Your Rest API Application With Python | CodeSignal Learn

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intermediate

Securing Your Rest API Application With Python

Security & Governance

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4 courses

52 practices

7 hours

Learn to secure your Python REST API by implementing rate limiting, request throttling, CORS configuration, and robust refresh token management to prevent abuse and enhance application security.

120 learners

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Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

API and Web Services Security

DEVELOPING

Security Architecture and Threat Modeling

Tools you'll use

FastAPI

Python

Course 1

Implementing Rate Limiting

4 lessons

13 practices

Master rate limiting in FastAPI to prevent API abuse. Implement global limits, per-user quotas, role-based throttling, and Redis persistence for secure, scalable REST APIs.

Course 2

Throttling API Requests

4 lessons

13 practices

Throttling manages high request volumes by slowing down requests instead of blocking them. Unlike rate limiting, which rejects excess requests, throttling adds delays when thresholds are exceeded. This keeps your API responsive and stable during traffic spikes.

Course 3

Enabling & Customizing CORS in Your Python REST API

4 lessons

10 practices

Modern web apps often need to fetch resources from different domains. CORS defines how servers declare which origins can make requests. By default, browsers block cross-origin requests, so you'll configure your FastAPI server to respond with the necessary headers.

Course 4

Secure Token Lifecycle and Refresh Rotation in FastAPI

4 lessons

16 practices

Learn production-ready token security in FastAPI. Implement refresh token rotation, theft detection, forced revocation, and context-aware validation for secure REST APIs.

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