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Udemy
πΆ Intermediate
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4.6 (201 reviews)
OWASP Top 10 LLM 2025: AI Security Essentials
Learn to identify and mitigate the OWASP Top 10 risks for Large Language Model applications with practical security strategies.
π― What You Will Learn & Master
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Identify and classify OWASP Top 10 LLM 2025 risks
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Implement prompt injection mitigation strategies
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Secure LLM output handling and data sanitization
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Configure access controls for model APIs
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Apply logging and monitoring for AI threat detection
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Develop resilient system architectures against AI-specific attacks
π Course Overview & Syllabus Review
Andrii Piatakha delivers a focused, technical walkthrough of the OWASP Top 10 for LLM applications, grounding each risk in concrete code examples and prompt-level defenses. The course moves quickly from injection vectors to output handling, requiring learners to engage with real threat models rather than abstract theory. Ideal for developers who need to secure AI pipelines without prior security experience, the material balances breadth with enough depth to build immediate confidence in hardening LLM deployments.
π Structured Curriculum Breakdown
6 Core Modulesπ Prerequisites & Requirements
- None
πΌ Target Career & Job Roles
AI Security Engineer
LLM Developer
Machine Learning Operations Specialist
Frequently Asked Questions (FAQ)
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Duration:
12 total hours
Credential:
Completion certificate
Language:
English
Instructor:
Andrii Piatakha