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Introduction to Prompt Hacking

Course Plan•3 Days
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38,943 learners enrolled

Learn about prompt hacking, which exploits hidden vulnerabilities in large language models (LLMs), and discover how to protect your AI applications from these threats. This course provides you with the knowledge to identify risks, perform ethical prompt injections, and implement robust defenses.

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Taught by

Sander Schulhoff

Sander Schulhoff

Founder & CEO, Learn Prompting

Fady Yanni

Fady Yanni

Co-founder & COO at Learn Prompting

What You'll Learn

  • Identify, test, and defend against prompt injection and jailbreak attacks in AI systems.
  • Apply responsible approaches to security testing and vulnerability assessment of LLM applications.
  • Implement proven defensive techniques like few-shot prompting and input sanitization to protect AI systems.
  • Analyze actual prompt hacking incidents to understand attack patterns and develop effective safeguards.

Course Overview

Prompt Hacking is crafting inputs or prompts to manipulate large language models (LLMs), revealing vulnerabilities in how they interpret and respond to instructions. Often surprisingly simple, prompt hacking can involve subtle inputs, like a specific phrase, to bypass safeguards or reveal strange model behaviors.

Techniques such as prompt injection, jailbreaking, and prompt leaking can lead to serious risks like misinformation, data breaches, and system misuse. With LLMs increasingly deployed in sensitive areas such as healthcare, finance, and legal advisory, understanding and addressing these vulnerabilities is crucial.

This course explores key prompt hacking techniques, their real-world applications, and defense strategies. By the end of the course, you'll have the skills to identify and defend against prompt-related threats and a deeper understanding of how to challenge, optimize, and secure LLMs effectively.

Skills You'll Gain

  • Prompt Hacking Techniques: Learn how to perform ethical prompt hacking testing to identify and assess vulnerabilities in AI systems.
  • LLM Security Analysis: Understand and analyze weaknesses in large language models, and develop strategies to enhance system resilience.
  • Defense Implementation: Implement few-shot prompting and other security measures to protect AI applications from potential threats.
  • Ethical AI Development: Develop secure AI applications using responsible testing frameworks and collaborative approaches.

Who Should Enroll?

  • Developers: Learn how to build secure and safe AI applications.
  • AI Enthusiasts: Gain a foundational understanding of prompt hacking, one of the biggest vulnerabilities in LLMs.
  • Security Professionals: Explore practical defense techniques for generative AI systems.
  • Researchers: Deepen your understanding of prompt hacking vulnerabilities and safeguards.

Course Outline

Introduction to Prompt Hacking

What is Prompt Hacking?

Differences Between Prompt Hacking and Jailbreaking

Understanding Prompt Injection Attacks

How Prompt Injection Occurs

Potential Threats to AI Applications

Ethical Considerations for Prompt Injection Testing

Defensive Strategies for LLMs

Importance of Not Trusting User Input

The Sandwich Defense and Post-Prompting Techniques

Few-Shot Prompting Defense Explained

Non-Prompt-Based Techniques for Enhancing Security

Advanced Concepts in Prompt Hacking

Understanding Prompt Leaking

Exploring the Jailbreaking Process

Conclusion

Key Takeaways

Certificate of Completion

Course Format

  • Duration: 3 Days (self-paced) with concise video lessons for busy learners.
  • Materials: Video content, interactive exercises, and quizzes.
  • Access: Available with a Learn Prompting Plus subscription, granting you access to 16 courses and certificates of completion that you can share on LinkedIn or any platform to highlight your new skills.

Meet Your Instructors

Sander Schulhoff

Sander Schulhoff

Founder & CEO, Learn Prompting

Sander Schulhoff is the Founder of Learn Prompting and an ML Researcher at the University of Maryland. He created the first open-source Prompt Engineering guide, which reached 3 million people and taught them to use tools like ChatGPT. Sander also led a team behind Prompt Report, the most comprehensive study of prompting ever done. This 76-page survey, co-authored with researchers from the University of Maryland, OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions, analyzed 1,500+ academic papers and covered 200+ prompting techniques.

Fady Yanni

Fady Yanni

Co-founder & COO at Learn Prompting

Fady Yanni is the Founder and COO of Learn Prompting, the leading Prompt Engineering resource that has taught over 3 million people how to communicate effectively with AI. Previously, he was the Head of Fundraising at the Farama Foundation, the open-source maintainer of every major Reinforcement Learning library, including OpenAI's flagship project, Gym.

Why Choose This Course?

  • Practical Focus: Real-life prompt hacking techniques and actionable strategies to secure your AI systems against real-world threats.
  • Expert Instructors: Insights from leaders in AI research and prompt engineering.
  • Hands-On Learning: Apply what you've learned from this course to quizzes and exercises.

Earn a Certifiate of Completion

By upgrading to Learn Prompting Plus, you automatically receive a certificate of completion for every course you complete. These certificates can easily be shared on LinkedIn, Twitter, or any other social platform to showcase your new skillset.

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LearnPrompting Course Completion Certificate

Program Pricing and Details

This course is included in our Learn Prompting Plus catalog, accessible with a monthly or yearly subscription.


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Learn More about Prompt Hacking Today

This course is designed to help you protect your AI systems and ensure their reliability. Join the Prompt Hacking Course and learn how to identify, assess, and defend against the vulnerabilities of LLMs to prompt hacking.

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Experiment with prompts and AI workflows directly in our interactive AI Playground, equipped with an AI Tutor for real-time guidance.

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Develop practical expertise through hands-on instructor-graded projects that simulate real-world challenges, preparing you to excel in AI-driven roles.

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