enthaltenThe "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards. This course is designed to equip learners with the necessary knowledge and skills to safeguard AI systems against emerging threats, ensuring their integrity and reliability. It's ideal for developers, security professionals, and anyone interested in understanding and enhancing the security of AI software and services.
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Empfohlene Erfahrung
Was Sie lernen werden
Understand key concepts and challenges in AI security.
Develop skills in secure coding and vulnerability assessment for AI systems.
Learn to implement and manage secure AI APIs and endpoints.
Kompetenzen, die Sie erwerben
- Kategorie: Building Secure AI Systems
- Kategorie: Ongoing Security and Compliance
- Kategorie: Addressing Security in AI Development
- Kategorie: AI Security Fundamentals
- Kategorie: Security Basics for Artificial Intelligence
Wichtige Details
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5 Aufgaben
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In diesem Kurs gibt es 2 Module
Module 1: Introduction to AI Security delves into the critical aspects of securing artificial intelligence systems. This module covers foundational concepts and the importance of AI security, common security threats to AI systems, and ethical AI considerations, including data privacy. It also explores the principles of designing secure AI systems, secure data management practices, and the basics of encryption and access control in AI environments, providing a comprehensive introduction to the complexities and necessities of AI security.
Das ist alles enthalten
10 Videos4 Lektüren2 Aufgaben1 Diskussionsthema
"Module 2: Implementing AI Security Practices" advances into the practical application of security measures in AI systems. It begins with secure coding practices, vulnerability assessments, and penetration testing tailored for AI. The module also addresses the implementation of secure AI APIs and endpoints. The second lesson focuses on ongoing security maintenance, compliance with evolving AI security standards and regulations, and anticipates future trends and emerging threats in AI security. This module is essential for anyone aiming to implement and maintain robust security practices in AI environments.
Das ist alles enthalten
8 Videos3 Lektüren3 Aufgaben
Dozent
Empfohlen, wenn Sie sich für Machine Learning interessieren
Johns Hopkins University
Johns Hopkins University
Edureka
Johns Hopkins University
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Geprüft am 3. Juni 2024
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