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security Advanced 21 lessons

Cryptography Engineering

Understand the math of secrets. Implement secure encryption, hashing, and PKI protocols while avoiding common implementation pitfalls.

Cryptography protects the internet, but it is easy to get wrong. This course goes beyond using libraries to understanding the underlying mechanics of AES, RSA, and Elliptic Curve Cryptography (ECC). You will learn the difference between symmetric and asymmetric encryption, how hashing secures passwords, and how Digital Signatures verify authenticity. We focus on proper implementation: managing keys, configuring TLS, and avoiding known attacks like padding oracles.

100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Crypto Math
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Complete Course Syllabus

  • 1
    Symmetric Encryption
    AES, ChaCha20, and managing secret keys.
  • 2
    Asymmetric Crypto
    RSA, Elliptic Curves, and key exchange (Diffie-Hellman).
  • 3
    Hashing & Integity
    SHA-256, HMAC, and securing passwords properly.
  • 4
    PKI & Certificates
    Certificate Authorities, chains of trust, and TLS.
  • 5
    Common Attacks
    Padding oracles, replay attacks, and weak randomness.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$130k - $180k

Career Paths

Crypto Engineer $140k-$190k
Security Architect $150k-$200k
Protocol Developer $130k-$170k

What You Will Learn

Select appropriate encryption algorithms for specific use cases
Implement Public Key Infrastructure (PKI) and TLS certificates
Secure data at rest and in transit using industry standards
Identify and patch cryptographic implementation flaws
Understand the mathematical foundations of RSA and ECC

Skills You Will Gain

Encryption Algorithms PKI Management Hashing & Salting TLS Configuration Key Management

Who Is This For

Security Engineers
Backend Developers
Mathematicians

Prerequisites

Advanced Math
Python Programming

Cryptography Engineering FAQs

Math heavy?

Yes, requires understanding number theory and algebra.

Do I write algorithms?

You implement them to learn, but use libs in prod.

Blockchain?

We cover the hashing/signatures used in blockchain.

Quantum?

We discuss Post-Quantum Cryptography trends.

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