CF

The Dark Side of AI: Jailbreaking, Injections, Hallucinations & more

3h 3m 38s
English
Paid

AI is a double-edged sword. If asked to complete the phrase "AI is...", your initial thoughts might be "Delightful" or "Amazing". However, by the end of this course, you might reconsider and conclude that "AI is... dangerous." While AI's capabilities are indeed remarkable, it is essential to recognize its potential vulnerabilities, as they can be exploited and lead to unforeseen consequences.

Exploring the Dark Side of AI

This course will delve into the darker aspects of AI, offering insights into some of its most pressing risks and vulnerabilities:

  • Jailbreaks and Prompt Injections: Understand how AI systems can be manipulated into operating beyond their intended limitations.
  • Hallucinations and Data Leaks: Learn about the potential for AI to produce false outputs and the risks of sensitive information being unintentionally exposed.
  • Other Real Risks: Discover additional threats affecting even the most advanced AI users and engineers.

Course Highlights

Throughout this course, you will engage in live demonstrations, examine cutting-edge research, and explore the latest AI models like ChatGPT and DeepSeek. You'll gain practical insights into how these issues manifest in real-world scenarios.

Why This Course is Essential

This is not just another informative course. It's essential knowledge for anyone leveraging AI in their professional or personal life. By enrolling, you'll move beyond hype and promises to acquire a genuine understanding that will give you a confident edge in the AI landscape—a level of comprehension that most users are yet to achieve.

About the Author: Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

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#1: Welcome to The Dark Side (Intro to Guardrails and Jailbreaking)
All Course Lessons (17)
#Lesson TitleDurationAccess
1
Welcome to The Dark Side (Intro to Guardrails and Jailbreaking) Demo
17:07
2
Jailbreak! (The DAN Prompt)
07:26
3
Many Shot Jailbreaking
18:10
4
Prompt Injections - Part 1
09:37
5
Prompt Injections - Part 2
17:43
6
Thinking Like LLMs - Multi-Modal Injection
09:18
7
Leaking - Part 1 (Prompt Leaking)
08:36
8
Leaking - Part 2 (Data Leaking)
18:08
9
Exposure
05:41
10
Poisoning
03:19
11
Toxicity
04:40
12
Hallucinations
13:32
13
Thinking Like LLMs - Big vs Small
18:59
14
Challenge: Conduct Your Own Mechanistic Interpretability Research on Hallucinations
04:35
15
The Model Card
11:06
16
Model Cards Deep Dive
14:44
17
Let's Keep Learning Together!
00:57
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Frequently asked questions

What prior knowledge should I have before taking this course?
The course does not specify formal prerequisites, but familiarity with AI and machine learning concepts, particularly Large Language Models (LLMs), will be beneficial. Understanding basic AI terminology will help you grasp the discussions on vulnerabilities like jailbreaks, prompt injections, and hallucinations more effectively.
What kind of projects or exercises will I work on during the course?
You will engage in live demonstrations and a challenge to conduct mechanistic interpretability research on hallucinations. These practical components are designed to deepen your understanding of AI vulnerabilities and how they manifest in real-world scenarios.
Who is the target audience for this course?
The course is intended for individuals who use or develop AI systems professionally or personally. It is especially relevant for AI engineers, data scientists, and tech enthusiasts who want to understand the potential risks and vulnerabilities associated with AI systems.
How does this course compare in depth to other AI courses?
Unlike many AI courses that focus on capabilities and applications, this course provides a detailed exploration of AI vulnerabilities. It covers specific topics like jailbreaks, prompt injections, and hallucinations, offering insights into risks that even advanced AI users might overlook.
What specific AI models or tools are covered in the course?
The course explores the latest AI models, including ChatGPT and DeepSeek. It examines how these models can be manipulated or exploited, giving you a practical understanding of their vulnerabilities in real-world applications.
What topics are not covered in this course?
The course does not cover AI development or programming techniques. It focuses on vulnerabilities and risks rather than AI creation or deployment. Students seeking to learn about building AI systems may need to look elsewhere.
How much time should I expect to commit to this course?
The course comprises 17 lessons, though the total runtime is not specified. Expect to invest additional time in live demonstrations and the challenge exercise to fully grasp the course material. This structure suggests a moderate time commitment for thorough engagement.