LLM (Large Language Model) and Its Security [Hindi]

About this course

LLM Pentesting: Mastering Security Testing for AI Models

Course Description:

Dive into the rapidly evolving field of Large Language Model (LLM) security with this comprehensive course designed for both beginners and seasoned security professionals. LLM Pentesting: Mastering Security Testing for AI Models will equip you with the skills to identify, exploit, and defend against vulnerabilities specific to AI-driven systems.

What You’ll Learn:

• Foundations of LLMs: Understand what LLMs are, their unique architecture, and how they process data to make intelligent predictions.

LLM Security Challenges: Explore the core aspects of data, model, and infrastructure security, alongside ethical considerations critical to safe LLM deployment.

Hands-On LLM Hacking Techniques: Delve into practical demonstrations based on the LLM OWASP Top 10, covering prompt injection attacks, API vulnerabilities, excessive agency exploitation, and output handling.

Defensive Strategies: Learn defensive techniques, including input sanitization, implementing model guardrails, filtering, and adversarial training to future-proof AI models.

Course Structure:

This course is designed for self-paced learning with 2+ hours of high-quality video content (and more to come). It’s divided into 4 key sections:

• Section 1: Introduction - Course overview and key objectives.
• Section 2: All About LLMs - Fundamentals of LLMs, data and model security, and ethical considerations.
• Section 3: LLM Hacking - Hands-on hacking tactics and a unique LLM hacking game for applied learning.
• Section 4: Defensive Strategies for LLMs - Proven defense techniques to mitigate vulnerabilities and secure AI systems.

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