AI Security
Scademy
The evolving world of artificial intelligence (AI) brings both opportunities and risks. To protect assets, organizations must understand how to secure their AI systems. This in-depth course delves into the AI security landscape, addressing vulnerabilities like prompt injection, denial of service attacks, model theft, and more. Learn how attackers exploit these weaknesses and gain hands-on experience with proven defense strategies and security APIs. Discover how to securely integrate LLMs into your applications, safeguard training data, build robust AI infrastructure, and ensure effective human-AI interaction.
Who Should Attend
- Developers working with AI and machine learning systems
- Security professionals responsible for securing AI applications
- Software engineers integrating LLMs into enterprise systems
- Anyone responsible for protecting AI assets and infrastructure
Prerequisites
- AI Fundamentals
- Security Fundamentals
- Software development experience
What You Will Learn
- Gain a comprehensive understanding of AI technologies and the unique security risks they pose
- Learn to identify and mitigate common AI vulnerabilities
- Gain practical skills in securely integrating LLMs into applications
- Understand the principles of responsible, reliable, and explainable AI
- Familiarize with security best practices for AI systems
- Stay updated with the evolving threat landscape in AI security
- Engage in hands-on exercises that simulate real-world scenarios
Course Outline
Labs & Practical Exercises
This course includes hands-on exercises covering AI attack and defense scenarios. Participants will gain practical experience with prompt injection attacks, denial of service techniques, model theft, and secure LLM integration. All exercises simulate real-world scenarios to ensure skills can be applied immediately.
Certification & Assessment
Certificate of Completion. The course ends with an exam to validate the knowledge and skills acquired throughout the training.