| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 16 MB | ||
| 2 - AI Security Foundations & Threat Modeling | |||
| 2. Introduction to AI Red Teaming & Offensive Security.mp4 | 124.1 MB | ||
| 3 - Lab Setup & LLM Exploitation | |||
| 4 - Advanced AI Attacks & Pipeline Exploitation | |||
| 10. RAG & Vector DB Attacks Poisoning AI Knowledge Pipelines.mp4 | 170.7 MB | ||
| 11. Adversarial ML Deceiving Classifiers & Evasion Attacks.mp4 | 158 MB | ||
| 5 - Data Threats, Supply Chain & Pentest Operations | |||
| 12. Data Poisoning & Neural Backdoors Corrupting AI Training.mp4 | 111.2 MB | ||
| 13. Model Theft, Data Extraction & AI Privacy Attacks.mp4 | 99.5 MB | ||
| 14. AI Supply Chain Security & Infrastructure Exploits.mp4 | 74.7 MB | ||
| 15. Running a Full AI Red Teaming Operation (End-to-End Pentest).mp4 | 75.5 MB | ||
| 6 - AI Defense & The Future | |||
| 16. Securing AI Defenses, Agentic Threats & Course Wrap-Up.mp4 | 54.6 MB | ||
| 7. Building Your AI Red Team Lab & Hacking Environment.mp4 | 127.8 MB | ||
| 8. Prompt Injection Attacks Direct, Indirect & Zero-Click Exploits.mp4 | 378.8 MB | ||
| 9. Jailbreaking LLMs Bypassing AI Alignment & Safety Filters.mp4 | 256.3 MB | ||
| 3. AI Security Foundations & The OWASP LLM Top 10.mp4 | 214.4 MB | ||
| 4. Threat Modeling with MITRE ATLAS & NIST AI RMF.mp4 | 77 MB | ||
| 5. The C2C Attack Methodology Concept, Chain, Compromise.mp4 | 72.4 MB | ||
| 6. Mapping the AI Attack Surface & Real-World Cyber Incidents.mp4 | 98.1 MB |
Full MasterClass AI, RAG, Jaibreak Red Teaming 2026
https://WebToolTip.com
Published 3/2026
Created by Armaan Sidana
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 16 Lectures ( 3h 20m ) | Size: 2.1 GB
LLM Security Masterclass: Exploit Prompt Injections, RAG Vector DBs, Adversarial ML & Supply Chains
What you'll learn
✓ Execute advanced prompt injections and persona jailbreaks to reliably bypass LLM safety guardrails.
✓ Exploit RAG pipelines and autonomous AI agents using zero-click document poisoning and SSRF attacks.
✓ Apply adversarial machine learning to perform FGSM, PGD, and black-box evasion attacks on AI models.
✓ Conduct end-to-end AI red team operations using the C2C framework and implement robust AI defenses.
Requirements
● Basic Python programming experience. You should know how to write simple scripts, use variables, loops, functions, and install packages using 'pip'. No ML PhD required!
● Basic comfort with the Command Line / Terminal (CMD, PowerShell, Bash) to run Python scripts, navigate folders, and install open-source tools.
● A fundamental awareness of AI concepts (knowing what "training" and "inference" mean). We will teach you the advanced AI architectures from the ground up.
● A standard computer (Windows, Mac, or Linux). No expensive GPU is required! All 28 hands-on labs can be run entirely for free in the cloud using Google Colab.
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| 3 GB | freecoursewb | 2 weeks | 2 | 52 | |
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