Course description

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

Outline:

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

Participants attending this course will:

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

Enroll now Course PDF

AI Security

Go and Web Application Security

Application Security In The Cloud

Web Application Security Testing

Crypto Library Programming and the PKI

Advanced TPM Security

Web Application Security

C# and Web Application Secuity

Java and Web Application Security

C and C++ Secure Coding (x86)

C and C++ Secure Coding (ARM)

OWASP TOP 10, Secure Coding Fundamentals

AI for Software Developers

AI Fundamentals

Train the Trainer - Fundamentals

Our students say:

There were many case studies which I really liked, these helped a lot to understand everything in the theory parts.

June 28, 2024

I think it's an amazing topic overall and it was presented in an engaging way so props to the course materials!

June 28, 2024

Stay tuned for more!

Course description

Our students say: