Certified AI Security Engineer QASCAAISEC-QA

QASCAAISEC-QA
Cena na vyžiadanie

This course provides a comprehensive introduction to AI security and the evolving risks that accompany modern artificial intelligence systems. Participants explore how attackers exploit vulnerabilities in predictive and generative models, including prompt injection, model jailbreaks, denial of service attacks, model theft, and data poisoning. The course examines the full attack surface of AI systems, from training datasets to deployed applications, and equips learners with practical defence strategies using security APIs, structured prompt defences, and robust infrastructure design. Through hands-on exercises and real-world scenarios, participants learn how to build responsible, reliable, and secure AI capabilities that protect organisational assets and maintain trust in AI-augmented systems.

Describe different types of AI systems and explain their security vulnerabilities
Identify and mitigate attacks such as prompt injection, model jailbreaks, visual prompt manipulation, and denial of service
Apply defensive methods and security API tooling to strengthen AI systems
Assess and protect training data sources, model integrity, and supply chain dependencies
Integrate large language models securely within applications, respecting trust boundaries and common best practices
Evaluate ethical considerations, responsible AI principles, and techniques to improve reliability and explainability
Investigate model behaviour, detect potential misuse, and apply structured threat modelling for AI-driven workflows
Build secure human-AI interaction patterns that minimise hallucinations, misuse, and exposure of sensitive information

Certified AI Security Engineer

Mám záujem o vybraný QA kurz

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