Advanced Certificate in AI Security: Cloud-Native
-- ViewingNowThe Advanced Certificate in AI Security: Cloud-Native is a comprehensive course designed to equip learners with critical skills in AI security, particularly in cloud-native environments. With the increasing reliance on cloud services and AI technologies, the demand for professionals who can secure these systems is at an all-time high.
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โข Cloud-Native Infrastructure Security: Understanding the fundamentals of cloud-native infrastructure and its unique security challenges. Topics include containerization, orchestration, and immutable infrastructure.
โข Threat Modeling in AI Cloud-Native Systems: Learning to identify and assess potential threats and vulnerabilities in cloud-native AI systems through a structured threat modeling process.
โข Secure Machine Learning Operations (MLOps): Exploring the best practices for securing machine learning workflows in cloud-native environments, including data privacy, model security, and monitoring.
โข Identity and Access Management (IAM) in Cloud-Native AI: Understanding the principles of IAM and implementing effective access control policies for cloud-native AI systems.
โข Network and Compute Security for AI Cloud-Native Systems: Learning to secure the network and compute resources used by cloud-native AI systems, including virtual private clouds (VPCs) and load balancers.
โข Secure Data Storage and Management in Cloud-Native AI: Exploring the best practices for securely storing and managing data used by cloud-native AI systems, including encryption, access control, and data lifecycle management.
โข Security Monitoring and Incident Response for Cloud-Native AI: Learning to monitor cloud-native AI systems for security incidents and implementing effective incident response plans.
โข Compliance and Legal Considerations for Cloud-Native AI Security: Understanding the regulatory and legal requirements for cloud-native AI security, including data protection and privacy regulations.
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