Are you ready to become an AI security ninja?
In a world where artificial intelligence is rapidly transforming every aspect of our lives, the need for skilled AI security professionals has never been greater. Our comprehensive Ethical Hacking Gen AI/LLM/Chatbot Complete Hands-On course is your passport to mastering the art of protecting AI systems from malicious attacks.
Why Choose Our Course?
- Real-World Expertise: Learn from seasoned AI security experts who’ve faced the toughest challenges.
- Hands-On Labs: Dive deep into practical exercises to solidify your skills and gain confidence.
- Lifetime Support: Join our vibrant community for ongoing guidance, collaboration, and networking opportunities.
- Career Boost: Gain the in-demand skills to land high-paying AI security roles.
What You’ll Learn:
- AI Fundamentals: Grasp the core concepts of AI, machine learning, deep learning, NLP, and generative AI.
- OWASP Top 10 LLM Vulnerabilities: Understand the most common security threats facing AI systems, including insecure direct object references, missing function level access control, cross-site scripting, injection flaws, sensitive data exposure, broken authentication, cross-site request forgery, insecure component updates, redirects and forwards, and insufficient logging and monitoring.
- Ethical Hacking Techniques: Discover the art of ethical hacking, including reconnaissance, vulnerability scanning, social engineering, reverse engineering, malware analysis, and penetration testing.
- Real-World Attack Case Studies: Analyze famous AI security breaches, learn from past mistakes, and identify common patterns and trends.
- AI Attack Mitigation Strategies: Implement effective measures to protect AI systems, such as data privacy and protection, secure AI development practices, threat modeling and risk assessment, incident response and recovery, and continuous monitoring and evaluation.
- Hands-On Hacking Labs: Engage in practical exercises and challenges to build AI security tools and techniques and simulate real-world attack scenarios.
Career Paths in AI Security:
- AI Security Analyst: Identify and assess security risks in AI systems.
- AI Security Engineer: Design and implement security measures to protect AI systems.
- AI Security Architect: Develop and oversee the overall security strategy for AI systems.
- AI Security Consultant: Provide expert advice and guidance on AI security best practices.
- AI Security Researcher: Discover new vulnerabilities and develop innovative security solutions.
HOMEPAGE: https://www.udemy.com/course/complete-network-hacking-course-2024-beginner-to-advanced/
