Global Certificate in Health AI: Data Security
-- ViewingNowThe Global Certificate in Health AI: Data Security is a crucial course designed to meet the increasing demand for secure health AI applications. As data breaches become more common, the healthcare industry urgently needs professionals who can ensure data security while leveraging AI technologies.
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• Data Security Fundamentals: Understanding data security principles, threats, and vulnerabilities in Health AI.
• Data Privacy Regulations: Exploring global data privacy laws, regulations, and best practices for Health AI.
• Secure Data Transmission: Techniques for securely transferring health data, including encryption, decryption, and key management.
• Data Storage and Access Control: Strategies for securely storing health data and managing user access and permissions.
• Cloud Security for Health AI: Assessing and addressing cloud security challenges and benefits for Health AI applications.
• Artificial Intelligence Risks: Identifying and mitigating AI-specific security threats, such as adversarial attacks and model inversion.
• Incident Response Planning: Developing effective incident response plans for Health AI data breaches and security incidents.
• Security Audits and Compliance: Conducting regular security audits and maintaining compliance with relevant health AI standards and regulations.
• Privacy-Preserving Techniques: Utilizing privacy-preserving techniques, such as differential privacy and secure multi-party computation, to protect health data in AI applications.
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