Build job-ready skills with our Classroom and Online AI Security & LLM Security Training at WebAsha Technologies. The training is practical and built around getting you hired.
Training overview:
This is a hands-on, job-oriented program on securing AI and large language model applications. It covers AI/LLM threats, the OWASP Top 10 for LLM applications, prompt injection and jailbreaks, data and model poisoning, sensitive-data leakage, insecure output handling, guardrails and input/output validation, securing RAG and agents, red-teaming AI, model and supply-chain security, and governance. It prepares you for work in AI security, a field that is growing fast.
Intended audience:
This course suits security professionals, AI developers and engineers who want to secure AI and LLM applications and move into AI security work.
Topics covered:
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AI threats: New attack surfaces.
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OWASP LLM Top 10: Key risks.
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Prompt injection: Direct and indirect.
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Data & model poisoning: Training attacks.
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Data leakage: Protecting sensitive data.
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Guardrails: Input/output validation.
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Securing RAG & agents: Safe pipelines.
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Red-teaming & governance: Testing and policy.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Prerequisites:
Basic Python and familiarity with LLMs help, and cyber-security awareness is useful. Our Generative AI course is a helpful companion.
Career benefits:
AI security is a specialisation with growing demand. In India, AI security engineers typically earn ₹6 LPA to ₹40+ LPA.