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🔥 Cupom 100% DESC. Udemy 📶 Intermediário ★ 4.9 (13 avaliações)

Securing AI Applications: From Threats to Controls

Defend generative AI systems with firewalls, SPM, and data governance controls

🎯 O que você vai aprender e dominar

Identify common threat vectors targeting generative AI systems
Configure AI firewalls and security posture management tools
Implement data governance frameworks for model training
Mitigate prompt injection and adversarial attacks
Secure model deployment pipelines and runtime environments
Evaluate and improve overall AI security posture

📖 Visão geral do curso e ementa

This course provides a practical deep-dive into protecting generative AI systems from emerging threats. Andrii Piatakha explains how to deploy AI firewalls and implement Security Posture Management to monitor model behavior. The modules on data governance walk through concrete strategies for securing training pipelines and preventing prompt injection attacks. While the content is technically dense, the instructor breaks down complex concepts like model hallucination mitigation into actionable steps. Ideal for developers and security engineers who need to move beyond basic awareness and build actual defenses for their AI applications.

📚 Estrutura do currículo

6 módulos principais

📋 Pré-requisitos e exigências

  • None

💼 Carreiras e cargos-alvo

AI Security Engineer Machine Learning Operations Specialist Cybersecurity Analyst

Perguntas frequentes (FAQ)

Securing AI Applications: From Threats to Controls
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Duração: 8 total hours
Credencial: Completion certificate
Idioma: English
Instrutor: Andrii Piatakha

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