AI Security

QASCAAISEC-QA
Cena na vyžádání

Organisations 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. By the end of this course, you'll be equipped to protect your organization's AI assets and maintain the integrity of your systems.

Introduction to AI Security
Types of AI Systems and Their Vulnerabilities
Understanding and Countering AI-specific Attacks
Ethical and Reliable AI
Prompt Injection
Model Jailbreaks and Extraction Techniques
Visual Prompt Injection
Denial of Service Attacks
Secure LLM Integration
Training Data Manipulation
Human-AI Interaction
Secure AI Infrastructure
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 themselves 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

AI Security

Mám zájem o vybraný QA kurz

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