AI Security Practitioner
Practitioner certification in AI and LLM security: attack surfaces, prompt injection, agent abuse, and responsible testing of production AI systems. For security practitioners and engineers securing AI-powered products.
Modules
14
Sections
N/A
Learning path artwork
EAISP
What you'll learn
Syllabus substance
Concrete skills and domains covered in this path, before you dive into the full module list.
AI attack surfaces
- •LLM architecture and trust boundaries
- •Prompt injection and indirect injection
- •Tool-calling and agent abuse patterns
Offensive AI testing
- •Jailbreaks and guardrail bypass techniques
- •RAG and embedding pipeline weaknesses
- •Red teaming AI features in staging and prod
Practitioner outcomes
- •Structured AI security assessments
- •Findings that developers can action
- •Exam-ready practitioner competence
Curriculum
Full module syllabus
Module content is being prepared for this path.
Modules coming soon
We're building hands-on modules aligned with EAISP. Planned: 14 modules.
14 Modules
Certification
Earn EAISP
Complete this learning path, then validate your skills with the official Evaluris certification exam.
Certification artwork
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Evaluris Certified
EAISP
Evaluris AI Security Practitioner
Practitioner certification in AI and LLM security: attack surfaces, prompt injection, agent abuse, and responsible testing of production AI systems. For security practitioners and engineers securing AI-powered products.
Curriculum
14 Modules
Access
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