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AI Security Course: ChatGPT, LLM Data & Privacy

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Generative AI · Online Course

AI Security Course: ChatGPT, LLM Data & Privacy Reviews & Product Details

As organizations rapidly integrate Large Language Models (LLMs) and tools like ChatGPT into their daily workflows, understanding the associated security and privacy vulnerabilities has become paramount. This comprehensive course, led by industry expert Sawan Kumar, offers a deep dive into the critical intersection of generative artificial intelligence and cybersecurity. Designed for security professionals, software developers, and IT administrators, the curriculum addresses the unique risks introduced by GenAI, including sensitive data leakage, prompt injection, and model theft. Throughout the course, learners will unpack real-world cyber incidents to understand how security lapses occur and how to prevent them. You will master the fundamentals of AI threat modeling, enabling you to design secure-by-design AI systems from the ground up. The training covers essential data protection techniques such as Digital Rights Management (DRM), watermarking, and model encryption to secure intellectual property. By the end of this course, you will possess the practical skills to confidently safeguard organizational data, defend models against sophisticated emerging threats, and ensure compliant, responsible AI deployment.

Best For

Cybersecurity professionals looking to bridge the gap between traditional network security and AI-specific threat landscapes. Software developers and engineers building applications that integrate LLMs like ChatGPT or enterprise-grade APIs. IT managers and compliance officers responsible for implementing responsible AI deployment strategies in enterprise environments. AI practitioners wanting to understand how to design secure-by-design models to prevent data leakage and prompt injection.

Not For

Absolute beginners with no prior knowledge of cybersecurity concepts or basic IT infrastructure. Data scientists focused exclusively on mathematical model training who are uninterested in the security and governance aspects of AI. Individuals looking for a hands-on coding tutorial on how to develop LLMs from scratch.

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