Artificial Intelligence & ChatGPT for Cyber Security 2026 — 90% OFF Discount Coupon

Master Cyber Security/Ethical Hacking With Artificial Intelligence - Implement, Uncover Risks and Navigate The AI Era

★4.5 out of 5
18,772 students
Created by Luka Anicin, Aleksa Tamburkovski
English
Updated January 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Artificial Intelligence & ChatGPT for Cyber Security 2026 before you enroll:

•Course Name: Artificial Intelligence & ChatGPT for Cyber Security 2026
•Platform: Udemy
•Instructor: Luka Anicin, Aleksa Tamburkovski
•Coupon Last Verified: January 5, 2026
•Level: Advanced
•Topic: IT & Software
•Subtopic: Cybersecurity
•Total Time: 7h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Learn ChatGPT for Cyber Security · Learn Prompt Engineering · Use Advanced ChatGPT functionality
•Requirements: No Cyber Security or AI Knowledge is required. We cover everything from scratch! · A computer(Windows/Linux/Mac) with internet connection
•Current Price: $9.99 (was $99.99). You save $90.00 with 90% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Artificial Intelligence & ChatGPT for Cyber Security 2026, you'll have these practical skills:

✓Learn ChatGPT for Cyber Security .
✓Learn Prompt Engineering .
✓Use Advanced ChatGPT functionality .
✓Implement Bypassing ChatGPT filters .
✓Learn Social Engineering with Artificial Intelligence .
✓Create a Voice Clone with AI .
✓Create Deepfake Videos For Social Engineering with AI .
✓Learn AI Based SIEM .
✓Learn AI Based Firewalls .
✓Learn Email Filtering with AI .
✓Learn AI In Identity and Access Management .
✓Build an Email Filtering System with AI and Python .
✓Build a Phishing detection system with AI and Python .
✓Implement Artificial Intelligence in Network Security .
✓Using Logistic Regression Algorithm for Network Monitoring .
✓Create Malware Detection system with AI and Python .
✓Learn Decision Trees Algorithm .
✓Learn K-Nearest Neighbors Algorithm KNN .
✓Learn Data Poisoning Attack .
✓Cover Data Bias Vulnerability .
✓Learn Model Vulnerabilities .
✓Cover Ethical Concerns of Artificial Intelligence and ChatGPT .
✓Learn Basics of Cyber Security .
✓Learn Basics of Artificial Intelligence .
✓Learn Basics of Python Programming.

What You Need Before Starting

Before enrolling in Artificial Intelligence & ChatGPT for Cyber Security 2026, make sure you have:

•No Cyber Security or AI Knowledge is required. We cover everything from scratch!
•A computer(Windows/Linux/Mac) with internet connection
•Basic Python Programming Knowledge Is a plus for some lectures

About This Udemy Course

The following is the full official course description for Artificial Intelligence & ChatGPT for Cyber Security 2026 as published on Udemy by instructor Luka Anicin, Aleksa Tamburkovski:

Whether you are an aspiring AI enthusiast eager to delve into the realm of Cyber Security, a student aiming to fortify your understanding of securing digital landscapes, or a seasoned programmer who is looking to implement Python and Artificial Intelligence into Cyber Security Tools, this course is tailored for you!

Our approach is hands-on and practical, designed to engage you in the dynamic fusion of Artificial Intelligence and Cyber Security. We believe in learning by doing, guiding you through real-world techniques and methods utilised by experts in the field. At the start of this course, we will dive right in by showing you how to use ChatGPT for Cyber Security. You will learn practical ways to make the most of ChatGPT, from understand its basics to using it for data analysis and other advanced features. After that we will dive into topics like:

1. ChatGPT For Cyber Security/Ethical Hacking - In this section, we delve into the dynamic world of ChatGPT for Cyber Security and Ethical Hacking, exploring key topics that range from addressing mistakes and inaccuracies in ChatGPT to understanding the intricacies of prompt engineering, including context prompting and output formatting. Through hands-on exercises, participants will tackle Few-Shot prompting and Chain of thought prompting, building a solid foundation in applying ChatGPT effectively. Additionally we'll navigate through advanced functionalities like Data Analysis, DALL E integration, and plugin utilisation, providing practical insights into preventing data leakage and exploring alternatives to ChatGPT.

  • Mistakes and Inaccuracies in ChatGPT
  • Introduction to prompt engineering
  • Few-shot prompting
  • Chain of thought prompting
  • Building Custom Instructions
  • Summarising Data
  • Advanced ChatGPT functionality (Data Analysis, Dalle, Plugins)
  • Alternatives to ChatGPT (Bard, Claude, Bing Chat)
  • How Companies leak their data to ChatGPT

2.  New Age Of Social Engineering - In this section we unravel the concept of social engineering, delving into its nuances and equipping participants with strategies to prevent potential threats. The module further explores Implementing Artificial Intelligence to explore new social engineering techniques which include voice cloning and creation of deepfakes.

  • What is social engineering ?
  • Voice Cloning with ElevenLabs
  • AI Voice Generating  with Resemble
  • Creating deepfakes with D-ID
  • Using ChatGPT to write Emails in my style
  • How to recognise these type of scams

3.  Where Is AI Used In Cyber Security Today - In this section we explore the forefront of cybersecurity advancements, delving into the integration of AI across critical domains. Students will gain insights into how traditional Cybersecurity tools like Firewalls, SIEM systems, IDS/IPS, Email Filtering and Identity and Access Management work when Artificial Intelligence is applied to them.

  • AI Based SIEM Systems
  • Firewalls With AI
  • Email Filtering With AI
  • AI In IAM
  • IDS/IPS with AI


4. Building an Email Filtering System With AI - In this section students encounter a hands-on journey, utilising Python programming to implement Artificial Intelligence algorithms for crafting effective email filtering system. This module not only introduces the fundamentals of email filtering and security but also provides a comprehensive understanding of spam filters, guiding learners through dataset analysis, algorithm implementation and practical comparisons with established systems like ChatGPT.

  • Introduction To Email Security and Filtering
  • What are Spam filters and how do they work ?
  • Dataset analysis
  • Training and testing our AI system
  • Implementing Spam detection using ChatGPT API
  • Comparing our system vs ChatGPT system

5. Building a Phishing Detection System With AI - In this section, students will gain essential knowledge about phishing and acquiring skills to recognise phishing attacks. Through practical implementation, this module guides learners in utilising decision trees with Python programming, enabling them to construct a robust phishing detection system.

  • Introduction To Phishing
  • How to Recognise and Prevent Phishing Attacks
  • Dataset Analysis
  • Splitting The Data
  • Introduction To Decision Trees
  • Training Random Forest Algorithm
  • Precision and Recall

6. AI In Network Security - In this section, students get into the foundations of network security, exploring traditional measures alongside practical implementations using Python. With the help of Logistic Regression, learners gain hands-on experience in building a system for network monitoring.

  • Introduction To Network Security
  • Dataset Analysis
  • Data Pre-Processing
  • Data Preparation
  • Logistic Regression
  • Training Logistic Regression For Network Monitoring
  • Hyperparameter Optimisation

7. AI For Malware Detection - In this section students get on a comprehensive exploration of malware types and prevention strategies before delving into the creation of a sophisticated malware detection system. This module guides learners through the training of multiple algorithms learned throughout the course, empowering them to evaluate and implement the most accurate solution for malware detection system.

  • What Is Malware & Different Types of Malware
  • Traditional Systems for Malware Detection
  • Loading Malware Dataset
  • Malware Dataset Analysis and Pre-Processing
  • Training Machine Learning Algorithms
  • Saving The Best Malware Detection Model


8.  AI Security Risks - In this section we explore critical Artificial Intelligence security risks such as data poisoning, data bias, model vulnerabilities and ethical concerns. This module dives into deep understanding of potential risks and ethical considerations of Artificial Intelligence Implementation.

  • Data Poisoning
  • Data Bias
  • Model Vulnerabilities
  • Ethical Concerns

9. Appendix A: Introduction To Cyber Security - This is our first Appendix section which is a cybersecurity foundational journey, tracing the evolution of cybersecurity and gaining insights into essential tools, techniques, certificates and best practices. This module serves as a compass, guiding learners through the core principles of cybersecurity.

  • Evolution Of Cyber Security
  • Categories of Cyber Attacks
  • Security Policies and Procedures
  • Cyber Security Tools and Technologies
  • Understanding Cyber Security Certifications
  • Cyber Security Best Practices

10. Appendix B: Introduction to Artificial Intelligence - This is our second Appendix section which is Artificial Intelligence fundamentals, covering brief history, diverse categories such as Narrow, General and Super intelligence and the distinctions between AI, machine learning and deep learning.

  • Brief History of AI
  • Types of AI: Narrow, General and Superintelligence
  • AI vs ML vs Deep Learning
  • Fields influenced by AI
  • Machine Learning Algorithms
  • AI Ethics and Governance

We assure you that this bootcamp on Artificial Intelligence in Cyber Security is designed to be the most comprehensive online course for mastering integration of AI in cybersecurity practices!

Compare Similar Courses

This section allows you to compare the current course with similar options to help you make an informed decision by evaluating prices, ratings, and key features side by side.

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Is the Artificial Intelligence & ChatGPT for Cyber Security 2026 Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: January 5, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Artificial Intelligence & ChatGPT for Cyber Security 2026 is a high-value resource for learners seeking to build skills inIT & Software. Taught by Luka Anicin, Aleksa Tamburkovski on Udemy, the 7h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 18,772 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Artificial Intelligence & ChatGPT for Cyber Security 2026:

  • The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Artificial Intelligence & ChatGPT for Cyber Security 2026 Course holds an aggregate rating of 4.5 out of 5 based on 18,772 student reviews on Udemy.

4.5
★★★★★
18,772 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Luka Anicin, Aleksa Tamburkovski, the instructor responsible for creating and maintaining Artificial Intelligence & ChatGPT for Cyber Security 2026 on Udemy.

Artificial Intelligence & ChatGPT for Cyber Security 2026 is taught by Luka Anicin, Aleksa Tamburkovski, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Luka Anicin, Aleksa Tamburkovski
•Subject Area: IT & Software
•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Artificial Intelligence & ChatGPT for Cyber Security 2026, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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