Download Pluralsight - LLM Prompt Injection Attacks and Defenses For Free
Pluralsight – LLM Prompt Injection: Attacks and Defenses 2025-11, Learn how prompt injection attacks threaten large language models (LLMs) and how to defend against them in this concise Pluralsight course. You’ll explore the mechanics of prompt injection, see real-world attack examples, and understand the risks to AI-powered applications. The course covers detection techniques, mitigation strategies, and best practices for securing LLMs in production environments. By the end, you’ll be able to identify vulnerabilities, implement defenses, and ensure your AI systems remain robust and trustworthy.
What you’ll learn
Understand the fundamentals of prompt injection attacks on LLMs
Analyze real-world examples of prompt injection and their impact
Detect vulnerabilities in AI-powered applications
Apply mitigation strategies and best practices to secure LLMs
Who this course is for
AI engineers and developers working with large language models
Security professionals seeking to protect AI systems
Technical leads responsible for deploying LLMs in production
Anyone interested in understanding and defending against prompt injection attacks
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