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Introduction to Prompt Injection Vulnerabilities

This course is part of Data Privacy, Ethics, and Responsible AI Specialization

Instructors: Kevin Cardwell

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1 module

Gain insight into a topic and learn the fundamentals.

20 reviews

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

20 reviews

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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.

Skills you'll gain

Tools you'll learn

Prompt Engineering

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

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This course is part of the Data Privacy, Ethics, and Responsible AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There is 1 module in this course

In this course, we enter the space of Prompt Injection Attacks, a critical concern for businesses utilizing Large Language Model systems in their AI applications. By exploring practical examples and real-world implications, such as potential data breaches, system malfunctions, and compromised user interactions, you will grasp the mechanics of these attacks and their potential impact on AI systems.

As businesses increasingly rely on AI applications, understanding and mitigating Prompt Injection Attacks is essential for safeguarding data and ensuring operational continuity. This course empowers you to recognize vulnerabilities, assess risks, and implement effective countermeasures. This course is for anyone who wants to learn about Large Language Models and their susceptibility to attacks, such as AI Developers, Cybersecurity Professionals, Web Application Security Analysts, AI Enthusiasts. Learners should have knowledge of computers and their usage as part of a network, as well as familiarity with fundamental cybersecurity concepts, and proficiency in using command-line interfaces (CLI). Prior experience with programming languages (Python, JavaScript, etc.) is beneficial but not mandatory. By the end of this course, you will be equipped with actionable insights and strategies to protect your organization's AI systems from the ever-evolving threat landscape, making you an asset in today's AI-driven business environment.