Certified AI Security Engineer
Issued by
QA Ltd
The earner has demonstrated how to securely integrate Large Language Models (LLMs) into applications, safeguard training data, build robust AI infrastructure, and ensure effective human-AI interaction. Skilled to protect an organisation's AI assets and maintain the integrity, reliability and explainability of AI systems.
- Type Certification
- Level Intermediate
- Time Weeks
- Cost Paid
Skills
Earning Criteria
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Build robust and secure AI technologies. Identify and mitigate common AI vulnerabilities. Integrate LLMs securely into applications. Explain principles of responsible, explainable, and reliable AI. AI governance and risk mitigation for AI systems. Safeguard AI training data.
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Understanding and countering AI-specific attacks. Types of AI systems and their vulnerabilities. Ethical and reliable AI. Prompt injection. Model jailbreaks and extraction techniques. Visual prompt injection. Denial of Service attacks. Secure LLM integration. Training data manipulation. Secure AI infrastructure. Human-AI interaction.