AI Security, Governance, and Compliance Essentials

As artificial intelligence becomes central to modern business, the need to secure these systems and ensure they meet regulatory standards has never been more critical. This course provides a clear path to understanding the risks associated with AI and the frameworks used to mitigate them. You will develop the skills to implement robust governance strategies that ensure your AI solutions are secure, transparent, and compliant with global standards. What you'll learn: - Understand the core principles of AI governance and the shared responsibility model. - Identify compliance requirements and regulatory standards for machine learning systems. - Apply AWS security services to protect data and AI infrastructure. - Learn to mitigate modern AI risks including prompt injection and data leakage. - Implement monitoring and auditing workflows for continuous AI compliance. - Practice evaluating AI solutions against organizational security policies. The course begins with essential definitions and foundational concepts of cloud security before exploring specific tools and strategies for AI governance. You will learn through written explanations and practical examples designed to build your confidence in managing AI risks. This course is designed for beginners and professionals transitioning into AI security roles, with no previous technical background required. Start building a foundation in responsible and secure AI management today.