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所在平台: Udemy |
课程主页: https://www.udemy.com/course/llm-large-language-model-and-its-security-hindi/
课程评论：没有评论
课程名称：大型语言模型（LLM）及其安全性 [印地语] 课程概述：大型语言模型渗透测试：掌握人工智能模型的安全测试 课程描述：通过本课程深入快速发展的大型语言模型（LLM）安全领域，课程为初学者和经验丰富的安全专业人士设计。大型语言模型渗透测试课程将帮助您掌握识别、利用和防御人工智能驱动系统中特有的漏洞的技能。 您将学习： 1. LLM基础：了解LLM是什么，它们的独特架构以及如何处理数据进行智能预测。 2. LLM安全挑战：探索数据、模型和基础设施安全的核心方面，以及对LLM安全部署至关重要的伦理考虑。 3. 实用LLM黑客技巧：深入实际演示，体现LLM OWASP十大漏洞，包括提示注入攻击、API漏洞、过度授权利用和输出处理。 4. 防御策略：学习防御技术，包括输入清理、实施模型警戒、过滤和对抗性训练，以保证AI模型的未来安全。 课程结构：该课程为自学型，包含2小时以上的高质量视频内容（将持续更新）。它分为四个关键部分： - 第一部分：简介 - 课程概述和关键目标。 - 第二部分：关于LLM的一切 - LLM的基础知识、数据与模型安全及伦理考虑。 - 第三部分：LLM黑客 - 实用黑客策略和独特的LLM黑客游戏进行应用学习。 - 第四部分：LLM的防御策略 - 经过验证的防御技术以减轻漏洞并保护人工智能系统。 无论您是想建立新技能还是提升您在AI安全领域的职业生涯，本课程将指导您掌握现代AI应用所需的安全测试技术。立即注册，获取成为LLM安全测试专家所需的见解、技能和信心！
LLM Pentesting: Mastering Security Testing for AI ModelsCourse 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.Whether you're looking to build new skills or advance your career in AI security, this course will guide you through mastering the security testing techniques required for modern AI applications.Enroll today to gain the insights, skills, and confidence needed to become an expert in LLM security testing!
