We provide virtual course about 10 AI Security for LLM Applications. You are shipping an application with an LLM at its core. The threat model is different. The transformer has no architectural wall between your system prompt, the user´s message, and whatever you retrieved from the database.
Course description:
Every token is processed identically. Defenses must be built around the model, not inside it.
What you´ll learn:
Module 1 - Prompt injection and jailbreaking:
• Why input sanitisation alone cannot work, and what architectural boundaries actually containthe blast radius
Module 2 - Sensitive data in context:
• How system prompts leak, why retrieval pipelines exfiltrate by design, and how to structure trust zones across the context window.
Module 3 - Insecure output handling:
• LLM output is untrusted data; how it reaches downstream systems and how to intercept it before it does damage
Module 4 - Supply chain and model integrity:
• Third-party models, plugins, and fine-tuning pipelines as attack surfaces; what to verify andwhen
Module 5 - Detection:
• What prompt injection, data exfiltration, and abuse look like in your logs, and how to build signals that fire in production
Instructor: Mohammad Yassin
I bring more than 15 years of experience from the IT industry, combining deep technical expertise, strong business acumen, and a proven ability to teach, train, and inspire teams. I`m both a technical architect, AI trainer, and commercial business builder, with a background in software engineering, IT architecture, and AI, as well as leadership roles as Head of Software Engineering & Technology and Head of Business Development.
For many years, I have designed and delivered courses, workshops, and learning programs for both technical and non-technical audiences, translating complex technology into clear, practical, and actionable knowledge.
Alongside this, I have hands-on experience building, selling, recruiting, and scaling successful business units, which gives me a strong understanding of both the technology and the commercial realities around it. My strength is helping organisations turn AI from an abstract opportunity into real capability, confident adoption, and measurable business impact.
Target audience:
Senior Engineers, AppSec Leads, Architects
Prerequisites:
• Working C# / .NET. No prior ML experience required
Language:
• English course material, english or norwegian speaking instructor
Course material:
The course fee includes digital course documentation