AWS AI Security and Governance Fundamentals

As artificial intelligence rapidly integrates into modern systems, ensuring the security, compliance, and ethical governance of AI solutions becomes paramount. This course provides the foundational knowledge and practical understanding needed to secure AI deployments and maintain regulatory adherence on the AWS cloud platform. You will gain the skills to protect sensitive data, manage access, and implement robust compliance strategies for your AI initiatives. What you'll learn: - Understand fundamental security, privacy, and governance concepts for AI systems. - Learn to identify and mitigate common vulnerabilities in AI/ML workflows on AWS. - Apply data protection strategies and compliance frameworks for AI data within AWS. - Configure essential AWS security services to safeguard AI models and data. - Explore best practices for securing modern AI applications, including large language models and Retrieval Augmented Generation (RAG) patterns. - Implement foundational MLOps security practices for continuous integration and deployment. Through clear, written explanations and practical examples, this course systematically guides you from fundamental security concepts to advanced topics in AI governance. You will read about core principles and practice applying them through written exercises. This beginner-friendly course is for anyone looking to understand and implement robust security and compliance measures for AI solutions on AWS, requiring no prior experience in AI security or AWS. Begin your journey to becoming a proficient AI security and compliance professional on AWS.