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AI SecurityBeginner Level// CURRICULUM_REF: AI-LLM-SECURITY-
Intro to AI & LLM Adversarial Security
Understand modern generative AI attack vectors: prompt injection, indirect data poisoning, jailbreaking, and defensive semantic guardrails.
4 Weeks Pace
10 Hands-on Labs
Interactive CLI Sandboxes
// OVERVIEW.01COURSE_DESCRIPTION
What This Course Covers
As software teams rapidly integrate LLMs and AI agents into production systems, new attack surfaces emerge. Learn the mechanics of prompt injection, system prompt extraction, indirect payload delivery, and how to engineer robust defensive guardrails to keep AI products resilient.
Ideal For: Software engineers deploying LLMs, product managers, and security professionals.
// OUTCOMES.02PRACTICAL_SKILLS_GAINED
What You'll Master
Understand the OWASP Top 10 for Large Language Model Applications
Execute and defend against Direct & Indirect Prompt Injection attacks
Protect against unauthorized system prompt and training data exfiltration
Secure Retrieval-Augmented Generation (RAG) pipelines from document poisoning
Implement multi-layer input sanitizers, token classifiers, and guardrails
Evaluate AI agent tool-calling permissions and prevent autonomous exploits
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4 Core ModulesHow LLMs Process Context: The Blurring of Code and Data
Direct Prompt Injection: Jailbreaking Techniques and Token Glitches
Indirect Prompt Injection: Poisoned Web Content and Email Vectors
// REQUIREMENTS.04PREREQUISITES
Prerequisites & Environment Setup
- ›Basic Python programming knowledge
- ›Familiarity with consuming REST APIs or OpenAI / Anthropic APIs
COURSE STATUSFree Access
100% Free
Community supported & practical offensive curriculum.
● NO CREDIT CARD REQUIRED ● LIFETIME ACCESS
Duration:4 Weeks
Hands-on Labs:10 Exercises
Format:Self-Paced + Sandbox
Access:Lifetime Updates