Cybersecurity Essentials for Artificial Intelligence

As artificial intelligence becomes central to modern technology, understanding how to secure these systems and use them for defense is a critical skill for any aspiring professional. This course provides a solid foundation in the security principles necessary to navigate the AI landscape, covering both the protection of models and the application of AI in threat detection. You will gain a clear understanding of the intersection between security and machine learning, moving from basic definitions to practical defense strategies. By the end of this course, you will be able to identify modern vulnerabilities and implement core security practices to safeguard data and infrastructure. What you'll learn: - Understand core terminology and foundational concepts of cybersecurity within AI environments - Identify common vulnerabilities in AI models, such as prompt injection and data poisoning - Apply modern security frameworks like Zero Trust to protect sensitive data used in machine learning - Learn how to leverage AI-driven tools for automated threat detection and incident response - Explore privacy considerations and ethical implications of deploying AI at scale - Practice identifying risks in Large Language Model integrations and modern data pipelines The course begins with essential security definitions and basic concepts before exploring practical methods for securing AI assets and using automation for defense. It is designed for beginners with no prior security or AI experience who want to understand the modern threat landscape. Start your journey into the vital field of AI security today.