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Master the offensive security of AI. Learn to exploit and secure LLMs, machine learning models, and AI pipelines against emerging cyber threats.
Roles this prepares you for
AI Red TeamerAdversarial ML EngineerAI Security ResearcherLLM Security Specialist
21Learning paths
+15,010XP on completion
39Learners
+15010 XP
earned on completion
21 learning paths inside
// about
About this career path
This advanced career path prepares you for the cutting-edge field of AI Red Teaming and Adversarial Machine Learning. You will learn to identify and exploit vulnerabilities in Large Language Models (LLMs), machine learning pipelines, and AI-driven applications. The curriculum covers prompt injection, jailbreaking, data poisoning, model inversion, and securing AI supply chains. Aligned with the NIST AI RMF and OWASP Top 10 for LLMs, this path equips you with the hybrid skills of a penetration tester and a machine learning engineer to safeguard the next generation of intelligent systems.
Career outcomes
Average salary
$130K – $200K
The journey
Complete these learning paths in order to reach the role.
Sign in to view the journey
This career path bundles 21 learning paths, free to study. Sign in to see the full roadmap and start learning.
How you’ll learn
Hands-on labsPractice in real environments — not slideshows.
Real investigationsTriage alerts and work realistic SOC cases.
Interactive quizzesCheck your understanding at every step.
Career certificateEarn a verifiable credential on completion.
Skills you’ll master
ai red teamingadversarial machine learningllm securityprompt injectionai safetynist ai rmfowasp top 10 llmmachine learning securityoffensive ai
What you unlock
15,010 XPLevel up your profile
Completion certificateVerifiable & shareable
Community accessLearn alongside peers
Practical labsReal hands-on work
Career badgeShow your achievement
21 learning pathsA full structured track
Frequently asked questions
Yes. The path starts from computer, networking, Windows and Linux fundamentals and builds up step by step — no prior experience required.
Start your cybersecurity career today
Follow a structured roadmap, complete practical labs, earn a verifiable certificate, and build the skills employers expect.
AI red teaming is the practice of attacking AI systems, such as large language models and ML pipelines, to find weaknesses like prompt injection, data poisoning, and model theft before real attackers can exploit them.
What will I learn in the AI Red Teaming and Adversarial ML career path?
You learn to test LLMs and machine learning models for prompt injection, adversarial inputs, and pipeline weaknesses, and to apply frameworks such as the OWASP Top 10 for LLM applications and the NIST AI Risk Management Framework.
Is the AI Red Teaming and Adversarial ML career path free?
Yes. The AI Red Teaming and Adversarial ML career path on Codelivly is free, with no paywall or subscription.