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Course
- AI
AIOps: Security and Governance
Security and governance are critical in AI operations. This course will teach you how to secure AI pipelines, ensuring regulatory compliance by implementing authentication, encryption, and auditing to protect AI systems and meet regulatory standards.
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.
Table of contents
About the author
Dr. Yasir Khan is a global tech consultant and 38Labs founder. He's passionate about digital transformation, data & AI, and regularly shares technology insights on Pluralsight.
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