• Online, Self-Paced
Course Description

The Defending Against Weak PRNG lab assesses the learner’s understanding of using cryptographically strong Pseudo-Random Number Generators. After completing this lab, the learner will understand how to use cryptographically strong Pseudo-Random Number Generators in Python applications.

Learning Objectives

On successful completion of this course, learners should have the knowledge and skills required to:

  • Understand how to use cryptographically strong Pseudo-Random Number Generators in Python

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Risk Management
  • Software Development

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.