Executive Development Programme in AI and Software Security
-- ViewingNowThe Executive Development Programme in AI and Software Security is a certificate course designed to empower professionals with the latest AI technologies and software security skills. In an era where businesses are increasingly reliant on digital solutions, this programme addresses the growing industry demand for experts who can design and maintain secure AI-driven software systems.
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GBP £ 140
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โข Fundamentals of Artificial Intelligence (AI): Understanding AI basics, including machine learning, deep learning, and natural language processing. Exploring AI applications and use cases in business.
โข AI in Cybersecurity: Examining AI's role in cybersecurity defense and offense, including threat detection, incident response, and vulnerability assessment. Discussing AI-powered cyber attacks and countermeasures.
โข Software Security Principles: Learning essential software security concepts, such as secure coding practices, threat modeling, and secure development lifecycle (SDL). Emphasizing the importance of secure design and architecture.
โข Cryptography and Encryption Techniques: Delving into encryption algorithms, key management, and digital signatures. Exploring cryptographic tools and libraries in AI applications.
โข Security Risks and Vulnerabilities in AI Systems: Investigating AI system-specific threats, such as adversarial attacks, model inversion, and data poisoning. Discussing mitigation strategies and best practices.
โข Privacy-Preserving AI: Examining privacy concerns in AI applications, including data protection, anonymization, and differential privacy. Exploring privacy-enhancing technologies and techniques.
โข Ethical and Legal Implications of AI: Discussing ethical considerations in AI development and deployment, including bias, fairness, and transparency. Addressing legal and regulatory requirements, such as GDPR, CCPA, and others.
โข AI Security Governance and Compliance: Introducing security governance frameworks, policies, and procedures in AI projects. Exploring compliance with industry standards and best practices.
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