Course

Introduction to Prompt Injection Vulnerabilities

Coursera Instructor Network

In this course, you will delve into the space of Prompt Injection Attacks, a critical concern for businesses utilizing Large Language Model (LLM) systems in their AI applications. Through practical examples and real-world implications, you will grasp the mechanics of these attacks and their potential impact on AI systems. This course empowers learners to recognize vulnerabilities, assess risks, and implement effective countermeasures.

For anyone working with AI applications, understanding and mitigating Prompt Injection Attacks is essential for safeguarding data and ensuring operational continuity. Participants will gain actionable insights and strategies to protect their organization's AI systems from the ever-evolving threat landscape, thus becoming an asset in today's AI-driven business environment.

  • Analyze and discuss various attack methods targeting Large Language Model (LLM) applications.
  • Demonstrate the ability to identify and comprehend the primary attack method, Prompt Injection, used against LLMs.
  • Evaluate the risks associated with Prompt Injection attacks and gain an understanding of the different attack scenarios involving LLMs.
  • Formulate strategies for mitigating Prompt Injection attacks, enhancing their knowledge of security measures against such threats.

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Introduction to Prompt Injection Vulnerabilities
Course Modules

This course comprises modules covering the identification, comprehension, evaluation, and mitigation of Prompt Injection attacks targeting Large Language Model (LLM) applications.

Introduction to Prompt Injection Vulnerabilities (Introduction to Prompt Injection Attacks)

This module provides an introduction to Prompt Injection Vulnerabilities, discussing the essential concepts and real-world implications. Participants will explore practical examples and gain insights into potential data breaches, system malfunctions, and compromised user interactions. The module also covers the identification and comprehension of Prompt Injection attacks used against Large Language Models (LLMs).

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