AI & Machine Learning Security
AI & Machine Learning Security
LLM risks and AI app defenses.
LLM architecture risks, prompt injection, data leakage, RAG/agent threats, AI red teaming and defenses — evaluated in isolated lab apps.
- Level
- Advanced
- Duration
- 8 weeks
- Modules
- 1 modules · 13 lessons
- Learning method
- Lessons + labs
What you will learn
- Threat-model an AI application
- Explain prompt injection classes
- Propose defense-in-depth for LLM apps
Course curriculum
Expand each module for lessons, progress, and labs assigned to that module — not a flat topic dump.
Module 1
AI security core
Fundamentals through defense.
0/13 lessons
Module 1
AI security core
Fundamentals through defense.
0/13 lessons
Lessons
- 1. AI and ML Security Fundamentalspreview~20 min
- 2. Understanding LLM Architecture~20 min
- 3. Prompt Injection~20 min
- 4. LLM Security Risks~20 min
- 5. AI Data Leakage~20 min
- 6. Model Security~20 min
- 7. AI Application Threat Modeling~20 min
- 8. RAG Security~20 min
- 9. AI Agent Security~20 min
- 10. Autonomous AI Systems~20 min
- 11. AI Red Teaming~20 min
- 12. AI Security Testing~20 min
- 13. AI Application Defense~20 min
Enrol to unlock full lessons and track module progress.
Inside this course
Labs · Quizzes · Certificate
Labs below are curated for this syllabus (shared engine, course-specific assignments). They unlock with enrol; quizzes match course topics; finish ≈90%+ to claim a CYNARKS Academy certificate.
Course labs
4 assigned labs · free with this course enrol
- Prompt Injection MitigationUnlock via course or plan
- RAG Data BoundaryUnlock via course or plan
- STRIDE LetterUnlock via course or plan
- India DPDP BasicsUnlock via course or plan
Track quiz
344 questions matched to this course topics
Knowledge checks for this track only — not a separate global quiz menu.
Start track quizCYNARKS certificate
Educational completion certificate · verify by ID
Your progress: 0% · enrol to unlock claim
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