What you'll learn

AI systems face increasing security threats and stringent regulations. This course equips you with the knowledge and tools to secure AI pipelines, ensure compliance, and safeguard models and data against evolving risks. In this course, AIOps: Security and Governance, you’ll learn how to safeguard AI-driven systems from evolving security threats and ensure they meet stringent regulatory standards. First, you’ll explore the security challenges faced in MLOps, such as potential threats to data and models. Next, you’ll discover how regulation can shape the way AI systems comply with legal frameworks, including GDPR, HIPAA, and new AI regulations. Finally, you’ll gain hands-on experience in implementing security measures across the entire AI pipeline, including authentication, encryption, and creating secure environments. By the end of this course, you'll have the practical skills and knowledge needed to secure AI pipelines, manage risks in AI/ML deployments, and ensure compliance with both regulatory and organizational standards.