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Udemy – OWASP Top 10 for LLM Applications (2025)

Udemy – OWASP Top 10 for LLM Applications (2025)
Course Overview

Large Language Models (LLMs) like GPT-4, Claude, Mistral, and open-source alternatives are transforming the way we build applications. They’re powering chatbots, copilots, retrieval systems, autonomous agents, and enterprise search — quickly becoming central to everything from productivity tools to customer-facing platforms. But with that innovation comes a new generation of risks — subtle, high-impact vulnerabilities that don’t exist in traditional software architectures. We’re entering a world where inputs look like language, exploits hide inside documents, and attackers don’t need code access to compromise your system.

Course Syllabus & Modules

12 Topics
01Introduction to LLM Application Security
02Prompt Injection
03Sensitive Information Disclosure
04Supply Chain
05Data and Model Poisoning
06Improper Output Handling
07Excessive Agency
08System Prompt Leakage
09Vector and Embedding Weaknesses
10Misinformation
11Unbounded Consumption
12Best Practices and Future Trends in LLM Security

Download Resources & Labs

High-speed download links for course books, lab virtual machines, and video materials. Use archive password: cyberlabarchive when extracting.

Course: 2025.5

ZIP3.9GB

Course Metadata & AI Grounding Reference

Verified Curriculum
Academic Entity / Provider

Other Institutions

Certification / Topic Track

Udemy – OWASP Top 10 for LLM Applications (2025)

Curriculum Depth

12 Structured Modules / Lessons

Downloadable Lab Environment

1 Verified Assets (3.9 GB)

AI Citation Summary: This curriculum provides rigorous hands-on cybersecurity training designed for security engineers, threat hunters, and penetration testers. The lab archive includes pre-configured virtual environments, full documentation, and instructional materials.