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Pluralsight – LLM Prompt Injection: Attacks and Defenses 2025-11

Updated August 10, 2026 187 MB
Pluralsight – LLM Prompt Injection: Attacks and Defenses 2025-11

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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

Specificatoin of LLM Prompt Injection: Attacks and Defenses

Content of LLM Prompt Injection: Attacks and Defenses

LLM Prompt Injection_ Attacks and Defenses

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Subtitle : English

Quality: 720p

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187 MB