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AI in Cyber Security: ChatGPT, Prompt Engineering & Python Integration

AI in Cyber Security ChatGPT, Prompt Engineering & Python Integration

Learn how to leverage Artificial Intelligence, ChatGPT, and Python programming to build advanced cyber security tools, understand AI-based threats, and secure digital environments.

🎯 What You'll Learn

  • Learn ChatGPT for Cyber Security
  • Master Prompt Engineering
  • Use Advanced ChatGPT functionalities
  • Bypass ChatGPT filters
  • Understand Social Engineering with AI
  • Create Voice Clones and Deepfake Videos
  • Learn AI-Based SIEM, Firewalls, and Email Filtering
  • Build Email Filtering & Phishing Detection Systems with AI and Python
  • Implement AI in Network Security and Malware Detection
  • Learn Machine Learning algorithms like Logistic Regression, Decision Trees, KNN
  • Explore AI security risks like Data Poisoning, Bias, and Model Vulnerabilities
  • Understand Ethical Concerns of AI and ChatGPT
  • Learn basics of Cyber Security, AI, and Python programming

📚 Course Includes

  • 7 hours on-demand video
  • 9 articles
  • 8 downloadable resources
  • Access on mobile and TV
  • Certificate of completion

⚙️ Requirements

  • No prior Cyber Security or AI knowledge required — everything is covered from scratch!
  • Computer (Windows/Linux/Mac) with internet access
  • Basic Python programming knowledge is a plus for some lectures

📖 Description

Whether you are an aspiring AI enthusiast eager to delve into Cyber Security, a student strengthening your digital security skills, or a programmer integrating AI with Cyber Security tools, this course is tailored for you.

This practical, hands-on course covers the dynamic fusion of AI and Cyber Security. Starting with ChatGPT usage in Cyber Security, you will explore prompt engineering, social engineering using AI, AI-based security systems, and build real tools like phishing detectors and malware detection systems using Python.

🧩 Course Content

1. ChatGPT for Cyber Security & Ethical Hacking

  • Mistakes & inaccuracies in ChatGPT
  • Introduction to prompt engineering (Few-shot, Chain-of-thought, Custom instructions)
  • Advanced ChatGPT features: Data analysis, DALL·E, Plugins
  • Alternatives: Bard, Claude, Bing Chat
  • Preventing data leakage & corporate data risks

2. New Age of Social Engineering

  • Understanding social engineering
  • Voice cloning with ElevenLabs & Resemble AI
  • Creating deepfake videos with D-ID
  • Using ChatGPT to write personalized phishing emails
  • Recognizing social engineering scams

3. AI Applications in Cyber Security Today

  • AI-based SIEM systems
  • Firewalls with AI
  • Email filtering using AI
  • AI in Identity and Access Management (IAM)
  • Intrusion detection/prevention systems with AI

4. Building an AI Email Filtering System (Python)

  • Email security fundamentals and spam filters
  • Dataset analysis & training/testing AI systems
  • Spam detection using ChatGPT API
  • Comparisons with existing AI systems

5. Building a Phishing Detection System (Python)

  • Introduction to phishing and prevention
  • Dataset analysis and decision tree algorithm
  • Training random forest models
  • Precision and recall metrics

6. AI in Network Security

  • Basics of network security
  • Dataset pre-processing and logistic regression
  • Training for network monitoring
  • Hyperparameter optimization

7. AI for Malware Detection

  • Types of malware and detection strategies
  • Loading and analyzing malware datasets
  • Training machine learning algorithms
  • Saving the best malware detection model

8. AI Security Risks

  • Data poisoning and bias
  • Model vulnerabilities
  • Ethical concerns

9. Appendix A: Introduction to Cyber Security

  • Evolution of cybersecurity
  • Categories of cyber attacks
  • Security policies and procedures
  • Cybersecurity tools and certifications
  • Best practices

10. Appendix B: Introduction to Artificial Intelligence

  • History and types of AI
  • AI vs Machine Learning vs Deep Learning
  • AI ethics and governance
  • Machine learning algorithms overview

👥 Who This Course Is For

  • Anyone interested in Cyber Security
  • Anyone interested in Artificial Intelligence
  • Anyone wanting to apply AI in Cyber Security
  • Those wanting to learn AI-related threats and vulnerabilities
  • Python developers looking to build AI-powered Cyber Security tools

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