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Keep shoppingSecuring GenAI Systems: LLM & AI Security Guide
2,690 students
Securing GenAI Systems: LLM & AI Security Guide
Prompt Injection, Data Poisoning, Model Theft, LLM Vulnerabilities & AI Threat Mitigation Strategies
Created byDr. Amar Massoud
Last updated 6/2026
English
What you'll learn
- Implement security best practices in GenAI systems.
- Identify emerging threats and vulnerabilities in AI systems.
- Apply Zero Trust Architecture to protect AI infrastructure.
- Conduct security audits and assessments for AI systems.
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Course content
10 sections • 31 lectures • 2h 12m total length
Requirements
- No prior AI security experience required; basic IT knowledge recommended.
- Familiarity with cybersecurity concepts is helpful, but not necessary.
Description
In the "Securing GenAI Systems" course, you will gain expert knowledge and hands-on skills to protect next-generation artificial intelligence systems from evolving security threats. As AI technologies continue to advance, ensuring the safety of data, models, and infrastructure is crucial. This course is designed for IT professionals, cybersecurity experts, AI developers, and anyone interested in learning how to secure AI-driven systems.
Led by Dr. Amar Massood, a seasoned expert with over 35 years of experience and 70+ IT certifications, including ISO 27001 Auditor, CISSP, and CISA, this course offers a comprehensive guide to the latest security practices. You will learn how to implement Zero Trust Architecture, secure APIs, and manage emerging threats like adversarial attacks and data poisoning.
Throughout the course, you will explore advanced AI-driven security tools, real-time threat detection, and proactive defense strategies to ensure your AI systems are secure. Whether you’re responsible for AI deployment or looking to understand how AI systems can be protected, this course equips you with practical skills and a strong understanding of AI security concepts.
By the end of this course, you will be able to secure GenAI systems, conduct security audits, and ensure compliance with evolving regulatory standards. No prior AI security experience is required, making this course accessible for both beginners and seasoned professionals seeking to expand their knowledge.
Who this course is for:
- IT professionals and cybersecurity specialists seeking to secure AI systems.
- AI developers and data scientists interested in integrating security measures.
- Managers and decision-makers responsible for AI deployment and security.
- Beginners in cybersecurity looking to learn about securing AI technologies.