{ }DSA
Skill goal
AI Red Teaming
1
Skill areas
1
Core areas
~43 h
From scratch
~5 weeks
At 10 h/week
Every skill, at the level the job needs
Updating…
gi
git-github
core110 skills · 108 with lessons · up to working
L3
- git init
- What is Version Control?
- Why use Version Control?
- git config
- Local vs Global Config
- Git
ai
ai-red-teaming
core61 skills · 58 with lessons · up to working
L3
- Black Box Testing
- White Box Testing
- Grey Box Testing
- Automated vs Manual
- Continuous Testing
- Testing Platforms
da
datastructures-and-algorithms
core87 skills · 87 with lessons · up to basics
L2
- C#
- JavaScript
- Introduction to Java
- Getting started with C++
- Go
- Ruby
What the levels mean
- L1 · AwareKnows what it is and when it's used
- L2 · BasicsCan use it with guidance
- L3 · WorkingUses it independently on the job
- L4 · StrongHandles hard cases, reviews others
- L5 · ExpertDesigns with it, teaches it
Questions
What does a AI Red Teaming need to know?
AI Red Teaming at a working level, plus supporting skills. The skills section above lists every one with its level.
How long does it take to become a AI Red Teaming?
About 43 hours of study from scratch. At 10 hours a week that's roughly 5 weeks; anything you already know is skipped after the readiness test.
I already know some of this. Do I start from zero?
No. The optional readiness test finds what you already know and your route skips it.
Does the route change for product companies or senior roles?
Yes. Choose your level and the kind of company above: the skills and target levels adjust, for example deeper data structures and system design for product companies.