Dive into the intricate world of malware forensics with our comprehensive course, "Malware Forensics v3: AI & ChatGPT Mastery in Malware Analysis". This course is meticulously designed to provide an in-depth understanding of modern malware analysis techniques, blending AI advancements and ChatGPT's prowess with traditional forensic methods.
Chapter 1 sets the foundation, focusing on multi-stage malware analysis. Explore the balance between AI and conventional methods, delve into the mechanics of correlation analysis, and gain hands-on experience with heatmap visualizations to understand feature correlations in malware.
Chapter 2 advances into predictive analytics, teaching you to anticipate malware threats using time series modeling and ARIMA. You'll learn not just to react to malware, but to predict and prepare for future threats, solidifying your knowledge through advanced analytical labs.
Chapter 3 introduces AI-driven behavioral analysis and explainable AI, covering AI-powered behavioral profiling and practical implementation with Random Forest classifiers. This chapter demystifies AI in malware analysis, ensuring that you can not only use AI effectively but also understand and explain your models.
In Chapter 4, we delve into clustering techniques for malware variant discovery. Unpack unsupervised clustering methods, optimal clustering sizes, and feature engineering through practical labs, enhancing your skills in identifying and analyzing malware variants.
Chapter 5 explores dynamic malware and memory analysis, integrating AI for breakthroughs in this area. It covers everything from the basics of dynamic malware analysis to advanced topics like LSTM neural networks and deep learning techniques for memory dump analysis.
Chapter 6 zeroes in on ransomware, offering a comprehensive analysis and advanced prediction techniques using AI. From understanding the lifecycle of ransomware to deploying deep learning for behavior prediction and classification, this chapter equips you with the tools to tackle one of the most formidable threats in cybersecurity today.
Throughout this course, you'll gain not just theoretical knowledge, but also practical skills through various labs and hands-on sessions, preparing you to face the evolving landscape of cyber threats with confidence and expertise.
There will also be the inclusion of :
Lifetime Access to The Course
Quick and Friendly Support in the Q&A section
Udemy Certificate of Completion
Enroll now and become a cybersecurity expert with the power of AI on your side!
See you in the "Malware Forensics v3: AI &ChatGPT Mastery in Malware Analysis." course!
With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.
Dive into the intricate world of malware forensics with our comprehensive course, "Malware Forensics v3: AI & ChatGPT Mastery in Malware Analysis". This course is meticulously designed to provide an in-depth understanding of modern malware analysis techniques, blending AI advancements and ChatGPT's prowess with traditional forensic methods.
Chapter 1 sets the foundation, focusing on multi-stage malware analysis. Explore the balance between AI and conventional methods, delve into the mechanics of correlation analysis, and gain hands-on experience with heatmap visualizations to understand feature correlations in malware.
Chapter 2 advances into predictive analytics, teaching you to anticipate malware threats using time series modeling and ARIMA. You'll learn not just to react to malware, but to predict and prepare for future threats, solidifying your knowledge through advanced analytical labs.
Chapter 3 introduces AI-driven behavioral analysis and explainable AI, covering AI-powered behavioral profiling and practical implementation with Random Forest classifiers. This chapter demystifies AI in malware analysis, ensuring that you can not only use AI effectively but also understand and explain your models.
In Chapter 4, we delve into clustering techniques for malware variant discovery. Unpack unsupervised clustering methods, optimal clustering sizes, and feature engineering through practical labs, enhancing your skills in identifying and analyzing malware variants.
Chapter 5 explores dynamic malware and memory analysis, integrating AI for breakthroughs in this area. It covers everything from the basics of dynamic malware analysis to advanced topics like LSTM neural networks and deep learning techniques for memory dump analysis.
Chapter 6 zeroes in on ransomware, offering a comprehensive analysis and advanced prediction techniques using AI. From understanding the lifecycle of ransomware to deploying deep learning for behavior prediction and classification, this chapter equips you with the tools to tackle one of the most formidable threats in cybersecurity today.
Throughout this course, you'll gain not just theoretical knowledge, but also practical skills through various labs and hands-on sessions, preparing you to face the evolving landscape of cyber threats with confidence and expertise.
There will also be the inclusion of :
Lifetime Access to The Course
Quick and Friendly Support in the Q&A section
Udemy Certificate of Completion
Enroll now and become a cybersecurity expert with the power of AI on your side!
See you in the "Malware Forensics v3: AI &ChatGPT Mastery in Malware Analysis." course!
With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.
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!
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!
Greetings, cyber enthusiasts! Brace yourselves for an exhilarating journey into the dynamic realm of "Hacking AI Chat Bots." This isn't your run-of-the-mill chat session; we're flipping the narrative and transforming these digital conversationalists into our hacking playground.
Envision this: penetrating the intricate AI code, outsmarting chat bots at every turn, and becoming the puppet master behind the scenes. Forget about casual conversations; we're here to hack, and we're doing it with unparalleled style.
Picture yourself unleashing your hacking prowess, dismantling the barriers of AI sophistication, and turning these bots into digital marionettes under your command. This course isn't just about acquiring knowledge; it's about empowering you to manipulate AI chat bots with finesse and creativity.
But, here's a critical learning point: "Don't trust AI chat bots with your data; data leaks happen." As we embark on this hacking odyssey, it's crucial to recognize the potential vulnerabilities and pitfalls associated with our digital escapades. Understanding the importance of safeguarding your data becomes a cornerstone in navigating the ethical landscape of hacking.
So, are you ready to wield your hacking skills with finesse and responsibility? Hit that enroll button, and let's embark on this thrilling journey of hacking AI chat bots together, all while prioritizing the security of our digital domain! Hacking with flair – that's the way forward!
Greetings, cyber enthusiasts! Brace yourselves for an exhilarating journey into the dynamic realm of "Hacking AI Chat Bots." This isn't your run-of-the-mill chat session; we're flipping the narrative and transforming these digital conversationalists into our hacking playground.
Envision this: penetrating the intricate AI code, outsmarting chat bots at every turn, and becoming the puppet master behind the scenes. Forget about casual conversations; we're here to hack, and we're doing it with unparalleled style.
Picture yourself unleashing your hacking prowess, dismantling the barriers of AI sophistication, and turning these bots into digital marionettes under your command. This course isn't just about acquiring knowledge; it's about empowering you to manipulate AI chat bots with finesse and creativity.
But, here's a critical learning point: "Don't trust AI chat bots with your data; data leaks happen." As we embark on this hacking odyssey, it's crucial to recognize the potential vulnerabilities and pitfalls associated with our digital escapades. Understanding the importance of safeguarding your data becomes a cornerstone in navigating the ethical landscape of hacking.
So, are you ready to wield your hacking skills with finesse and responsibility? Hit that enroll button, and let's embark on this thrilling journey of hacking AI chat bots together, all while prioritizing the security of our digital domain! Hacking with flair – that's the way forward!
Welcome to the world of cybersecurity and ethical hacking like you've never experienced before! Are you ready to embark on a transformative journey that will empower you with the skills and knowledge needed to safeguard digital realms and uncover vulnerabilities hidden in the digital shadows? If you've ever wondered how the realms of cybersecurity and hacking intersect, or if you aspire to become a skilled ethical hacker, then you've found the perfect course.
As your instructor, I bring over two decades of real-world experience in the business and technology landscape. I'm not just passionate about this topic; I've lived it, breathed it, and thrived in it. Today, as cyber threats loom larger and more ominous than ever before, the need for skilled professionals who can protect our digital world is greater than ever. That's where this course comes in.
In a world where data breaches, cyberattacks, and digital vulnerabilities dominate headlines, cybersecurity and ethical hacking have become critical skills in the fight against cybercrime. This course is meticulously designed to provide you with a comprehensive understanding of these disciplines, blending traditional knowledge with cutting-edge technologies, and it goes far beyond what's readily available in the market.
This course is not just a compilation of lessons; it's a transformative journey that will equip you with the skills and expertise needed to excel in the field of cybersecurity and ethical hacking. Here's a glimpse of what you can expect:
Section 1: Introduction to Cybersecurity and Ethical Hacking
Begin with a solid foundation by understanding the fundamental concepts of cybersecurity and the role of ethical hackers. Dive into the legal and ethical framework that governs ethical hacking practices.
Section 2: Foundations of Cybersecurity and Hacking
Master the basics of networking, operating systems, and cyber threats. Develop a robust understanding of the digital landscape you'll be safeguarding.
Section 3: Getting Started with ChatGPT
Enter the world of ChatGPT, your AI-powered ally. Learn to set up and configure ChatGPT for hacking tasks and navigate its interface for cybersecurity analysis.
Section 4: Information Gathering with ChatGPT
Discover passive and active information gathering techniques with ChatGPT. Explore open-source intelligence (OSINT) and delve into the art of social engineering.
Section 5: Vulnerability Identification and Assessment
Learn scanning and enumeration techniques with ChatGPT, assess web application vulnerabilities, and conduct network vulnerability scanning and analysis.
Section 6: Exploitation and Penetration Testing
Explore the world of exploiting system and application vulnerabilities, post-exploitation techniques, and privilege escalation. Dive into penetration testing methodologies and reporting.
Section 7: Advanced Ethical Hacking Techniques
Take your skills to the next level with advanced web application attacks, network hacking, and wireless network hacking. Learn to defend against evolving threats.
Section 8: Protecting Against Cyber Attacks
Understand defensive security and cyber hygiene, implement intrusion detection and prevention systems (IDPS), and master security configuration and patch management with ChatGPT.
Section 9: ChatGPT for Security Innovation
Leverage ChatGPT for threat hunting, create custom ChatGPT models for cybersecurity tasks, and automate routine security tasks for increased efficiency.
Section 10: Emerging Trends and Future of Cybersecurity
Explore the role of AI and machine learning in cybersecurity, delve into blockchain security, and unravel the ethical implications of AI usage in hacking.
Section 11: Case Studies and Real-World Scenarios
Analyze real cyber attacks and breaches, dissect ethical hacking case studies with ChatGPT, and immerse yourself in Red Team vs. Blue Team exercises.
Section 12: Secure Development and DevSecOps
Learn secure coding practices, conduct code reviews with ChatGPT, integrate security into DevOps, and master continuous monitoring and incident response.
Section 13: Cybersecurity Regulations and Compliance
Understand GDPR, HIPAA, and other regulations, build compliant systems and applications, and conduct compliance audits with ChatGPT.
Section 14: Ethical Hacking in Cloud Environments
Explore cloud security fundamentals, assess cloud infrastructure with ChatGPT, and secure containers and serverless architectures.
Section 15: CTF Challenges and Capture The Flag Events
Dive into the exciting world of Capture The Flag (CTF) challenges, learn to solve them using ChatGPT, and even discover how to host and manage CTF events.
Section 16: Final Projects and Practical Assessments
Apply your newfound knowledge by designing a comprehensive penetration test, building a security automation workflow, and compiling penetration testing reports with ChatGPT.
Section 17: Professional Development and Career Insights
Elevate your career by building a compelling resume, preparing for interviews tailored to ethical hacking, and navigating the job market with confidence.
What sets this course apart is not just its comprehensive curriculum but the unique value it brings. With each lesson, you'll receive a full workbook, consisting of one-page worksheets tailored to each topic. These worksheets are not only a great reference but also serve as practical tools to reinforce your learning.
Join me on this exhilarating journey through the world of cybersecurity and ethical hacking. Enroll now to gain the skills and knowledge needed to become a guardian of the digital realm, protect against evolving cyber threats, and thrive in one of the most dynamic and rewarding fields of the 21st century. Your transformation into a cybersecurity expert starts here!
Welcome to the world of cybersecurity and ethical hacking like you've never experienced before! Are you ready to embark on a transformative journey that will empower you with the skills and knowledge needed to safeguard digital realms and uncover vulnerabilities hidden in the digital shadows? If you've ever wondered how the realms of cybersecurity and hacking intersect, or if you aspire to become a skilled ethical hacker, then you've found the perfect course.
As your instructor, I bring over two decades of real-world experience in the business and technology landscape. I'm not just passionate about this topic; I've lived it, breathed it, and thrived in it. Today, as cyber threats loom larger and more ominous than ever before, the need for skilled professionals who can protect our digital world is greater than ever. That's where this course comes in.
In a world where data breaches, cyberattacks, and digital vulnerabilities dominate headlines, cybersecurity and ethical hacking have become critical skills in the fight against cybercrime. This course is meticulously designed to provide you with a comprehensive understanding of these disciplines, blending traditional knowledge with cutting-edge technologies, and it goes far beyond what's readily available in the market.
This course is not just a compilation of lessons; it's a transformative journey that will equip you with the skills and expertise needed to excel in the field of cybersecurity and ethical hacking. Here's a glimpse of what you can expect:
Section 1: Introduction to Cybersecurity and Ethical Hacking
Begin with a solid foundation by understanding the fundamental concepts of cybersecurity and the role of ethical hackers. Dive into the legal and ethical framework that governs ethical hacking practices.
Section 2: Foundations of Cybersecurity and Hacking
Master the basics of networking, operating systems, and cyber threats. Develop a robust understanding of the digital landscape you'll be safeguarding.
Section 3: Getting Started with ChatGPT
Enter the world of ChatGPT, your AI-powered ally. Learn to set up and configure ChatGPT for hacking tasks and navigate its interface for cybersecurity analysis.
Section 4: Information Gathering with ChatGPT
Discover passive and active information gathering techniques with ChatGPT. Explore open-source intelligence (OSINT) and delve into the art of social engineering.
Section 5: Vulnerability Identification and Assessment
Learn scanning and enumeration techniques with ChatGPT, assess web application vulnerabilities, and conduct network vulnerability scanning and analysis.
Section 6: Exploitation and Penetration Testing
Explore the world of exploiting system and application vulnerabilities, post-exploitation techniques, and privilege escalation. Dive into penetration testing methodologies and reporting.
Section 7: Advanced Ethical Hacking Techniques
Take your skills to the next level with advanced web application attacks, network hacking, and wireless network hacking. Learn to defend against evolving threats.
Section 8: Protecting Against Cyber Attacks
Understand defensive security and cyber hygiene, implement intrusion detection and prevention systems (IDPS), and master security configuration and patch management with ChatGPT.
Section 9: ChatGPT for Security Innovation
Leverage ChatGPT for threat hunting, create custom ChatGPT models for cybersecurity tasks, and automate routine security tasks for increased efficiency.
Section 10: Emerging Trends and Future of Cybersecurity
Explore the role of AI and machine learning in cybersecurity, delve into blockchain security, and unravel the ethical implications of AI usage in hacking.
Section 11: Case Studies and Real-World Scenarios
Analyze real cyber attacks and breaches, dissect ethical hacking case studies with ChatGPT, and immerse yourself in Red Team vs. Blue Team exercises.
Section 12: Secure Development and DevSecOps
Learn secure coding practices, conduct code reviews with ChatGPT, integrate security into DevOps, and master continuous monitoring and incident response.
Section 13: Cybersecurity Regulations and Compliance
Understand GDPR, HIPAA, and other regulations, build compliant systems and applications, and conduct compliance audits with ChatGPT.
Section 14: Ethical Hacking in Cloud Environments
Explore cloud security fundamentals, assess cloud infrastructure with ChatGPT, and secure containers and serverless architectures.
Section 15: CTF Challenges and Capture The Flag Events
Dive into the exciting world of Capture The Flag (CTF) challenges, learn to solve them using ChatGPT, and even discover how to host and manage CTF events.
Section 16: Final Projects and Practical Assessments
Apply your newfound knowledge by designing a comprehensive penetration test, building a security automation workflow, and compiling penetration testing reports with ChatGPT.
Section 17: Professional Development and Career Insights
Elevate your career by building a compelling resume, preparing for interviews tailored to ethical hacking, and navigating the job market with confidence.
What sets this course apart is not just its comprehensive curriculum but the unique value it brings. With each lesson, you'll receive a full workbook, consisting of one-page worksheets tailored to each topic. These worksheets are not only a great reference but also serve as practical tools to reinforce your learning.
Join me on this exhilarating journey through the world of cybersecurity and ethical hacking. Enroll now to gain the skills and knowledge needed to become a guardian of the digital realm, protect against evolving cyber threats, and thrive in one of the most dynamic and rewarding fields of the 21st century. Your transformation into a cybersecurity expert starts here!
"Dive into the dynamic realm of cybersecurity with our in-depth course, 'Malware Forensics v2: Classic & AI/ChatGPT in Decoding & Evasion Analysis' Tailored for both professionals and enthusiasts, this course blends classic techniques with AI and ChatGPT innovations, providing you with essential skills for comprehensive malware analysis and the foresight to anticipate emerging threats.
Chapter 1: Introduction to AI-Driven Malware Forensics
Embark on your journey with an overview of AI in cybersecurity. Understand AI's crucial role in revealing malware intricacies, setting a solid foundation in malware forensics, and outlining the course objectives.
Chapter 2: Decoding the Hidden - Unpacking and Analyzing Encoded Malware
Delve into the complexities of encoded malware. Master malware obfuscation and evasion techniques through hands-on labs employing UPX, PEiD, and EXEinfo PE. Learn to decode executables and analyze packed malware, gaining insights from encoded files.
Chapter 3: Advanced Evasion Techniques and Analyzing Encrypted Malware
Navigate through advanced evasion strategies and encrypted malware analysis. Engage in practical labs to understand encrypted malware analysis, payload encryption, and behavioral analysis of encrypted executables, enhancing your response to sophisticated evasion techniques.
Chapter 4: AI & ChatGPT Driven Malware Analysis : Static Techniques to Reverse Engineering
Focus on integrating AI and ChatGPT for analyzing malware, from fundamental static file analysis to advanced predictive modeling. Labs featuring AI, neural networks, and random forest regressors will deepen your understanding of malware impact prediction and ChatGPT-Assisted Reverse Engineering in Malware Assembly Analysis.
Chapter 5: Advancing into Next-Gen ChatGPT and AI-Driven Malware Analysis
Conclude with a detailed recap and integration of learned concepts. Get a glimpse into advanced AI-driven malware analysis topics, preparing you for continuous learning in this rapidly evolving field."
Throughout the course, hands-on labs will provide practical experience and this course is not just about learning; it's about mastering the tools and techniques that will keep you one step ahead in the cybersecurity arena. Enroll now to transform your understanding of malware and fortify your skills in the AI-driven world of cyber defense.
There will also be the inclusion of :
Lifetime Access to The Course
Quick and Friendly Support in the Q&A section
Udemy Certificate of Completion
Enroll now and become a cybersecurity expert with the power of AI on your side!
See you in the "Malware Forensics v2: Classic & AI/ChatGPT in Decoding & Evasion Analysis." course!
With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.
"Dive into the dynamic realm of cybersecurity with our in-depth course, 'Malware Forensics v2: Classic & AI/ChatGPT in Decoding & Evasion Analysis' Tailored for both professionals and enthusiasts, this course blends classic techniques with AI and ChatGPT innovations, providing you with essential skills for comprehensive malware analysis and the foresight to anticipate emerging threats.
Chapter 1: Introduction to AI-Driven Malware Forensics
Embark on your journey with an overview of AI in cybersecurity. Understand AI's crucial role in revealing malware intricacies, setting a solid foundation in malware forensics, and outlining the course objectives.
Chapter 2: Decoding the Hidden - Unpacking and Analyzing Encoded Malware
Delve into the complexities of encoded malware. Master malware obfuscation and evasion techniques through hands-on labs employing UPX, PEiD, and EXEinfo PE. Learn to decode executables and analyze packed malware, gaining insights from encoded files.
Chapter 3: Advanced Evasion Techniques and Analyzing Encrypted Malware
Navigate through advanced evasion strategies and encrypted malware analysis. Engage in practical labs to understand encrypted malware analysis, payload encryption, and behavioral analysis of encrypted executables, enhancing your response to sophisticated evasion techniques.
Chapter 4: AI & ChatGPT Driven Malware Analysis : Static Techniques to Reverse Engineering
Focus on integrating AI and ChatGPT for analyzing malware, from fundamental static file analysis to advanced predictive modeling. Labs featuring AI, neural networks, and random forest regressors will deepen your understanding of malware impact prediction and ChatGPT-Assisted Reverse Engineering in Malware Assembly Analysis.
Chapter 5: Advancing into Next-Gen ChatGPT and AI-Driven Malware Analysis
Conclude with a detailed recap and integration of learned concepts. Get a glimpse into advanced AI-driven malware analysis topics, preparing you for continuous learning in this rapidly evolving field."
Throughout the course, hands-on labs will provide practical experience and this course is not just about learning; it's about mastering the tools and techniques that will keep you one step ahead in the cybersecurity arena. Enroll now to transform your understanding of malware and fortify your skills in the AI-driven world of cyber defense.
There will also be the inclusion of :
Lifetime Access to The Course
Quick and Friendly Support in the Q&A section
Udemy Certificate of Completion
Enroll now and become a cybersecurity expert with the power of AI on your side!
See you in the "Malware Forensics v2: Classic & AI/ChatGPT in Decoding & Evasion Analysis." course!
With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.