Skip to main content
CF

The AI for Ethical Hacking and Cybersecurity Bootcamp

8h 18m 22s
English
Paid

The AI for Ethical Hacking and Cybersecurity Bootcamp is a 54-lesson 8 hours 18 minutes self-paced course by Zero To Mastery. Practical Course on AI in Ethical Hacking helps you understand how modern artificial intelligence models enhance cybersecurity methods—from automating analyses to increasing the efficiency of SOC and pentesting.

Course facts

Lessons
54
Duration
8 hours 18 minutes
Level
All levels
Language
English
Updated
Instructor
Zero To Mastery
Price
Premium

Practical Course on AI in Ethical Hacking helps you understand how modern artificial intelligence models enhance cybersecurity methods—from automating analyses to increasing the efficiency of SOC and pentesting. The material is suitable for those who want to not only study tools but also learn how to apply AI in work scenarios.

What You Will Learn in the Course

The course combines theory, practice, and a modern approach to the use of AI in cybersecurity. The information is presented in a structured way, focusing on real tasks of specialists.

Application of AI in Ethical Hacking

You will learn how to use artificial intelligence to optimize penetration testing and reconnaissance processes:

  • accelerating data collection and analysis;
  • assistance in documenting results and automating routine tasks;
  • support in creating secure workflows and simplifying analytics.

Integration of AI in SOC processes

You will understand how AI transforms the daily work of protection specialists:

  • automation of initial incident analysis;
  • log processing and anomaly detection;
  • increasing the speed of threat response.

Tools and Technologies You Will Master

Throughout the training, you will work with modern tools and environments:

  • ChatGPT and advanced prompting methods;
  • Python for development and automation;
  • OpenAI API and LangChain for building your own AI tools;
  • Kali Linux-based lab for practical exercises.

Modern Risks and AI-based Threat Protection

A separate module is dedicated to analyzing attacks related to the use of artificial intelligence. You will study:

What Threats Arise from AI

  • manipulation of requests and model vulnerabilities;
  • unethical use of generative technologies;
  • risks of content falsification and social engineering.

How to Build Protection

  • approaches to risk reduction when working with LLM;
  • methods of data validation and filtering;
  • integration of AI into secure organizational processes.

Practical Projects and Learning Outcomes

During the course, you will create your own AI tool prototypes on Python that can be expanded and adapted for professional tasks. These projects will help consolidate knowledge and integrate AI into real work scenarios.

Who Is This Course For

The course is designed for students and specialists familiar with the basics of cybersecurity who aspire to master modern approaches and integrate AI into everyday processes of penetration testing, threat analysis, and protection assurance.

Who teaches The AI for Ethical Hacking and Cybersecurity Bootcamp? 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.

What lessons are included in The AI for Ethical Hacking and Cybersecurity Bootcamp?

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 54 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Introduction
All Course Lessons (54)
#Lesson TitleDurationAccess
1
Introduction Demo
04:33
2
The Correct Path
08:55
3
Kali Linux Install
16:01
4
Simple ChatGPT Prompts
05:43
5
Good vs. Bad Prompt Full Network Recon
24:54
6
Few-Shot Prompting Downgrading Aggressive Commands and Analyzing Logs
17:37
7
Assessment of Privilege Escalation Avenues with ChatGPT
07:05
8
Confirming and Prioritizing Web Vulnerabilities
06:19
9
Writing Rules for SQL Injection and Analyzing Apache Logs for SQLi
06:01
10
Hardening SSH Configuration File
07:24
11
Prompt Injection & Jailbreak
04:31
12
Gandalf Prompt Injection Lab
11:44
13
Indirect Prompt Injection
15:07
14
Loading Guardrails for Prompt Injection
07:28
15
PenTest++ Theory
05:28
16
Performing AI Augmented Pentest
30:02
17
OpenAI API and ShellGPT
13:18
18
Automating Entire Attacks with ShellGPT
13:35
19
ShellGPT for Recon, Payload Creation and Vulnerability Analysis
12:02
20
Python and ML for Cybersecurity and Ethical Hackers
03:19
21
Installing ML Libraries for Malicious IP Activity Detector
09:10
22
Predicting New Entries in Our Malicious Activity Detector
14:00
23
Malicious Bash Command Detector with Random Forest Classifier
10:10
24
Flagging Command as Negative & Positive
06:40
25
Implementing OpenAI Api Key In Python Recon Programs
12:17
26
Summarizing PDFs with LLM for Reconnaissance
14:29
27
Creating a Simple AI Attacker Agent
11:55
28
Introduction to MITRE ATLAS
03:37
29
Creating AI Digit Image Classifier Model
07:27
30
Exploiting the Model
27:37
31
Mapping Vulnerability to MITRE ATLAS and Writing Report
06:12
32
Exercise: Imposter Syndrome
02:57
33
Creating Tools for Our Agent
16:37
34
Initializing Our Agent
05:23
35
Testing Our Agent
14:08
36
Using AI For SQL Injection
08:46
37
AI Generated Reverse Shell
04:27
38
Using AI for Exploit Development and Fuzzing
10:24
39
Using AI for XSS (Cross-Site Scripting) Attacks
06:28
40
What is Social Engineering and Phishing
07:30
41
Voice Cloning with ElevenLabs
10:10
42
AI Voice Generating with Resemble
02:41
43
Creating Deepfakes with D-ID
05:10
44
How To Recognize these Types of Scams
05:56
45
AI Based SIEM (Security Information and Event Management) Systems
06:20
46
Firewalls with AI
06:07
47
Email Filtering With AI
04:42
48
AI in IAM (Identity and Access Management)
06:15
49
IDS (Intrusion Detection System) and IPS (Intrusion Prevention System) with AI
08:01
50
Data Poisoning
04:47
51
Data Bias
04:11
52
Model Vulnerabilities
06:53
53
Ethical Concerns
04:31
54
Thank You!
01:18
Unlock unlimited learning

Get instant access to all 53 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

What courses are similar to The AI for Ethical Hacking and Cybersecurity Bootcamp?

  • n8n for AI Workflows and AI Agents thumbnailUpdated 1mo ago

    n8n for AI Workflows and AI Agents

    By: Academind Pro (Maximilian Schwarzmüller)
    Learn how to create robust automations with n8n and AI. This includes AI agents, email processing, content generation, and image generation.
  • AI Career Booster thumbnailNew

    AI Career Booster

    By: Zen van Riel
    Build a successful career in AI: from Junior to Senior. Learn popular strategies, create a personal brand, and acquire valuable skills for growth.
    5h 2m
  • Cloud AI Integrations thumbnailNew

    Cloud AI Integrations

    By: Zen van Riel
    Master the practical implementation of AI models in applications using cloud services. Learn to work with APIs, scalable AI services, and create prototypes.
    27m
  • The Computer Vision Bootcamp thumbnailNew

    The Computer Vision Bootcamp

    By: Zero To Mastery
    Intensive course on modern computer vision models with a focus on practice, segmentation, detection, and deployment of solutions.
    6h 8m
  • Build a full stack Next.js app with Cursor thumbnailNew

    Build a full stack Next.js app with Cursor

    By: Gregory John
    Learn how to create applications with Next.js: UI design, authentication, databases, UX, payments via Stripe, and email automation. Suitable for beginners.
    8h
  • faster. | Learn AI-Assisted Development thumbnailUpdated 1mo ago

    faster. | Learn AI-Assisted Development

    By: Aaron Francis
    Practical course on AI development for engineers. Learn reproducible processes and improve your code with artificial intelligence.
    5/5
  • Cybersecurity: Personal Online Security thumbnailUpdated 3y ago

    Cybersecurity: Personal Online Security

    By: Zero To Mastery
    The "Cybersecurity: Personal Online Security" course will help you learn how to protect your personal information and secure yourself in the digital world. You
    1h 8m

More courses by Zero To Mastery

Frequently asked questions

What are the prerequisites for this course?
This course assumes a foundational understanding of cybersecurity and ethical hacking. Familiarity with Python programming and basic knowledge of machine learning concepts will be beneficial. Prior experience with tools like Kali Linux is also recommended, as the course includes practical exercises on this platform.
What projects or tasks will I work on during the course?
Throughout the course, you'll engage in practical exercises like using ShellGPT for automation of attacks, developing a malicious IP activity detector with machine learning, and creating an AI attacker agent. You'll also work with OpenAI API and LangChain to build your own AI tools and perform AI-augmented penetration testing.
Who is the target audience for this course?
The course is designed for cybersecurity professionals, ethical hackers, and IT specialists who are interested in enhancing their skills with AI technologies. It is also suitable for those looking to automate and optimize security operations and penetration testing using modern artificial intelligence tools.
How does this course compare in depth and scope to other cybersecurity courses?
This course uniquely focuses on the integration of AI in cybersecurity, covering advanced topics such as AI-based threat protection, automation of incident analysis, and AI-generated exploits. Unlike typical cybersecurity courses, it emphasizes practical applications of AI to enhance the efficiency of SOC processes and penetration testing.
What specific tools or platforms will I learn to use?
You will learn to use a variety of tools and platforms, including ChatGPT for advanced prompting, Python for automation, the OpenAI API for building AI tools, and Kali Linux for practical lab exercises. Additionally, the course covers the use of AI in SIEM systems and other security technologies.
What topics are not covered in this course?
The course does not cover basic cybersecurity concepts in depth, as it assumes prior knowledge in this area. It also does not delve into non-AI-based hacking techniques, focusing instead on the integration and application of AI within ethical hacking and cybersecurity contexts.
What is the expected time commitment for this course?
The course consists of 54 lessons and involves both theoretical and practical components. While the exact time to complete the course will vary based on individual pace, students should be prepared to dedicate several hours per week to fully engage with the material, complete exercises, and master the use of AI in cybersecurity.