Ethical Hacking: Securing AI and LLMs

The rapid integration of AI and large language models (LLMs) into critical systems presents new and complex cybersecurity challenges. This course provides a foundational understanding of ethical hacking principles applied specifically to AI and LLM environments, enabling you to identify vulnerabilities and implement robust defenses. What you'll learn: * Learn core concepts of ethical hacking and penetration testing methodologies * Understand the unique attack surfaces and vulnerabilities of AI and LLM systems * Identify common threats such as prompt injection, data poisoning, and model evasion * Apply secure development practices for AI and large language model applications * Practice basic techniques for assessing and mitigating AI/LLM security risks * Understand fundamental principles of responsible AI and secure system design The course begins with essential cybersecurity terminology and ethical hacking methodologies, then progresses to explore specific attack vectors and defense strategies for AI and LLM technologies. This course is designed for absolute beginners interested in cybersecurity, ethical hacking, or the secure deployment of AI and LLM systems, with no prior experience required. Start your journey into securing the future of artificial intelligence.