What You Need to Know Before
You Start

Starts 4 June 2026 01:28

Ends 4 June 2026

00 Days
00 Hours
00 Minutes
00 Seconds
course image

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

Explore AI vulnerabilities through hands-on jailbreaking, prompt injections, and bias testing with real models like ChatGPT to understand security risks and prevention methods.
via Zero To Mastery

29 Courses


3 hours

Optional upgrade avallable

Intermediate

Progress at your own speed

Paid Course

Optional upgrade avallable

Overview

Step over to the dark side and learn about the vulnerabilities, exploits, and unintended consequences that AI models like LLMs suffer from, with hands-on prompting and exercises.What jailbreaking models involves and how to do it yourselfUnderstanding vulnerabilities inherent to models, including prompt and data leakageThe risks of exposing LLMs to proprietary or sensitive dataExploring the toxicity and bias inherently built into different modelsReal-world tests using ChatGPT, DeepSeek and other modelsExperiment with steering an LLM's neurons to prevent hallucinations

Syllabus

  •   Introduction
  • Welcome to The Dark Side (Intro to Guardrails and Jailbreaking)
    Exercise: Meet Your Classmates and Instructor
    Course Resources
  •   The Dark Side of AI
  • Jailbreak! (The DAN Prompt)
    Exercise: Create Your Own Jailbreak
    Many Shot Jailbreaking
    Prompt Injections - Part 1
    Prompt Injections - Part 2
    Thinking Like LLMs - Multi-Modal Injection
    Leaking - Part 1 (Prompt Leaking)
    Leaking - Part 2 (Data Leaking)
    Exposure
    Poisoning
    Toxicity
    Hallucinations
    Thinking Like LLMs - Big vs Small
    Challenge: Conduct Your Own Mechanistic Interpretability Research on Hallucinations
    Challenge Instructions
    Leaderboard: Mechanistic Interpretability
    The Model Card
    Model Cards Deep Dive
    Exercise: Explore the Model Card for GPT-o3-mini and Learn Something New!
  •   Where To Go From Here?
  • Let's Keep Learning Together!
    Review This Byte!

Taught by

Scott Kerr


Subjects

Computer Science