Course Description
Cybersecurity for Artificial Intelligence (AI) is one of the most critical topics in light of the growing global interest and expansion in AI usage. It refers to the measures and practices required to ensure the security and protection of systems and applications that rely on AI technologies.
AI cybersecurity is particularly important due to the rapid advancement of AI and its adoption across various domains such as machine learning, big data analytics, and intelligent robotics.
This training course covers the key measures and practices for securing AI-based systems and applications. It also addresses cybersecurity threats related to AI, vulnerability analysis, security defense strategies, as well as protection and encryption techniques.
Course Objectives
- Understand cybersecurity threats related to AI
- Analyze vulnerabilities and weaknesses
- Develop security defense strategies
- Implement security measures
- Promote awareness and education
- Enable participants to apply best practices in AI cybersecurity and effectively address potential security challenges and threats
Course Outline
• Introduction to Artificial Intelligence
• Concept of Cybersecurity
• AI Algorithms
• Importance of Data in AI
• Applications of Artificial Intelligence
• AI-Related Cybersecurity Threats
• Cybersecurity for Artificial Intelligence
• Protection and Encryption Techniques
• Detection and Response Strategies
• Legal and Ethical Issues
• Case Studies and Practical Exercises
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