Introduction to Auth & Security
This is a framework-agnostic security track. Authentication and security concepts are universal across all programming languages. Code examples will be provided in multiple languages including:
- Java / Spring Boot - For enterprise Java developers
- Node.js / Express - For JavaScript/TypeScript developers
- Python / FastAPI - For Python developers
- Go / Gin - For Go developers
Choose the language you are most comfortable with. The core security concepts remain the same regardless of implementation language.
The editor validates your code syntax and compilation only. It does NOT run a live authentication server. When you see Compilation successful, your code is syntactically correct. Copy it to your local environment to test.
What You Will Learn
- Password hashing with bcrypt, scrypt, and Argon2
- JWT (JSON Web Tokens) from fundamentals to advanced patterns
- Refresh token rotation and revocation strategies
- OAuth2 and OIDC (OpenID Connect)
- Role-Based Access Control (RBAC) and ABAC
- API security, rate limiting, and CORS
- Encryption (symmetric and asymmetric)
- Two-Factor Authentication (2FA) with TOTP
- OWASP Top 10 vulnerabilities and mitigation
- Security logging, monitoring, and incident response
Before starting this track, you should be comfortable with:
- At least one backend programming language (Java, Node.js, Python, or Go)
- Basic HTTP concepts (requests, responses, headers, cookies)
- Basic cryptography concepts (hashing, encryption) are helpful but not required
Recommended companion tracks: Complete your chosen language track (Java, Node.js, Python, or Go) before diving into security.
- Implement secure authentication systems from scratch
- Design and deploy OAuth2 authorization servers
- Build role-based access control systems
- Protect APIs against common attacks (SQL injection, XSS, CSRF)
- Conduct security audits and implement OWASP recommendations
This crash course is designed for rapid architectural understanding. You will not find endless video tutorials here. Instead, you will read the core theory, analyze real-world engineering patterns, and immediately execute your knowledge in the terminal.