“This certification focused on the entire lifecycle of securing modern AI, from the initial build to defending against real-world threats. The curriculum provided a comprehensive framework for identifying and mitigating critical vulnerabilities within Large Language Models (LLMs), specifically focusing on risks like prompt manipulation and sensitive data exfiltration. This included evaluating the attack surface of AI-driven architectures to identify systemic weaknesses in data retrieval and autonomous workflows. ”

Kelley Bryant | Booz Allen Hamilton | Senior Lead Penetration Tester

“This certification focused on the entire lifecycle of securing modern AI, from the initial build to defending against real-world threats. The curriculum provided a comprehensive framework for identifying and mitigating critical vulnerabilities within Large Language Models (LLMs), specifically focusing on risks like prompt manipulation and sensitive data exfiltration. This included evaluating the attack surface of AI-driven architectures to identify systemic weaknesses in data retrieval and autonomous workflows. ”

Eric Mallette | Information Security Risk Manager

“The course was extremely well-delivered, packed with solid content, real offensive/defensive insights, and hands-on labs that offered meaningful challenges to solve. It pushed me to think deeper about AI-driven attack surfaces and the emerging security gaps organizations need to prepare for. I learned a great deal, sharpened my understanding of AI system threats, and expanded my toolkit for assessing and securing modern ML/AI environments. Looking forward to building on this knowledge and applying it in real-world Red Team and penetration testing engagements.”

Artur S | Scotiabank Canada | Principal Pentester

“This course was a deep dive into securing AI/LLM ecosystems, covering both theory and hands-on labs. Some of the most valuable takeaways included: Understanding AI/LLM foundations, embeddings, and RAG pipelines, Building and securing LangChain & LangSmith-based workflows, Developing AI agents & custom security scanners, Exploring threat modeling with AI, Hands-on with real attack vectors indirect prompt injection, data exposure, and LLM ecosystem attacks. The structured labs and real-world scenarios made the learning extremely practical, and I now feel much more confident in applying AI security principles to red teaming, VAPT, and secure AI system design.View LinkedIn Post”

Pratik chotalia | Security Consultant

“Overall, this course turned out to be exactly what I needed at this stage of my learning journey. I came in with gaps in my understanding of AI fundamentals and often felt overwhelmed by overly complex resources online. This course helped simplify those concepts without oversimplifying the technology behind them. The hands-on labs, real security use cases, and clear explanations finally connected the dots for me—both as a security engineer and as someone trying to understand how AI systems really work. If you’re looking to build a solid foundation in AI, learn how to break it, and understand how to defend it, I genuinely think this course is worth exploring. It has helped me approach AI security with more confidence, curiosity, and clarity, and I’m excited to continue applying what I’ve learned in my day-to-day. ”

Ishaq Mohammed| Appsec Engineer