Machine Learning for Red Team Hackers from Udemy

Everyone knows that AI and machine learning are the future of penetration testing. Large cybersecurity enterprises talk about hackers automating and smartening their tools; The newspapers report on cybercriminals utilizing voice transfer technology to impersonate CEOs; The media warns us about the implications of DeepFakes in politics and beyond...

This course finally teaches you how to do and defend against all these things.

This course will be teaching you, in a hands-on and practical manner, how to use the Machine Learning to perform penetration testing attacks, and how to perform penetration testing attacks ON Machine Learning systems.

You will learn

how to supercharge your vulnerability fuzzing using Machine Learning.
how to evade Machine Learning malware classifiers.
how to perform adversarial attacks on commercially-available Machine Learning as a Service models.
how to bypass CAPTCHAs using Machine Learning.
how to create Deepfakes.
how to poison, backdoor and steal Machine Learning models.

And you will solidify your slick new skills in fun hands-on assignments.

I wish this course was for everyone but unfortunately it just ain’t so. You should enroll only if you are really passionate about computer security and want to be the best at what you do. This course will challenge you and introduce you to new ideas. It will offer you fun hands-on assignments that will require you to bypass CAPTCHA challenges, get your hands dirty and modify malware, fuzz a secretly-vulnerable program, trick a commercially-available machine learning as a service and create a realistic fake video. If this sounds exciting for you, then click the enroll button to get started.

Frequently Asked Questions And Answers

1. I’m not confident about my (python/cybersecurity/ML) skills.

We make it really easy to follow along (line-by-line, concept-by-concept) and believe you will learn a ton by enrolling in the course.

Here’s what one of our past students had to say:

"I found Emmanuel to be a likable easy to follow along with instructor..."

"I recently took Cybersecurity Data Science by Emmanuel Tsukerman. This was the first course I have ever seen to combine 2 of my passions (cyber security and data science). This was also my first exposure to Emmanuel. For whatever reason there is a clear scarcity of content on this topic. This is strange because cybersecurity produces so much data.

I really enjoyed the content, it was enough to give you a good overview of the topics he covers. I especially appreciate him teaching how to create a lab. Although I already had an idea how to do this it was great to see how an actual pro does it.

Overall it is a classic Udemy course: short and touching on a little bit of a lot topics just to give you a taste. I found Emmanuel to be a likable easy to follow along with instructor who has some good choice in music. I would definitely purchase another course that he teaches and I hope he will put out more CyberSecurity data content. The world is lacking in it and he is an expert. Thanks for reading. "

-Leon R., cybersecurity data scientist, BNY Mellon

If you find the course too challenging, we offer a 100% get-all-your-money-back guarantee within 30 days.

2. Where can I turn for help if I am stuck on some question/bug/concept?

Getting stuck on a challenge happens to all of us. If you have a question about the course, we provide you with a Q&A platform, where you can get your questions answered by the instructor or a classmate.

Here is what one of our former students had to say about our courses:

"This course is well suited for both beginners and experienced individuals who wish to explore this area of application."

- Olatunji O., Security Architect, IBRD

In case you find the course too challenging, we offer a 100% get-all-your-money-back guarantee within 30 days.

Don't get left behind - learn the tools of the future now in the Machine Learning for Red Team Hackers Course. Enroll to get started now.

What's inside

Learning objectives

Learn how to make your fuzzing intelligent using ai
Learn how to evade machine learning malware classifiers
Learn how to perform adversarial attacks on machine learning

Learn how to break captchas using machine learning
Learn how to create deepfakes
Learn how to backdoor, poison and steal ml models

Learn how to make your fuzzing intelligent using ai
Learn how to evade machine learning malware classifiers
Learn how to perform adversarial attacks on machine learning
Learn how to break captchas using machine learning
Learn how to create deepfakes
Learn how to backdoor, poison and steal ml models

Syllabus

Introduction

Introduction to Course Content

Code Repository

Learn how to automatically break through a CAPTCHA system.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches practical skills in using machine learning for penetration testing, which is highly relevant for red team operations and cybersecurity professionals

Explores techniques like bypassing CAPTCHAs and creating Deepfakes, which are emerging threats and valuable skills for understanding modern attack vectors

Covers adversarial attacks on machine learning models, which is crucial for defending against AI-powered threats and understanding the limitations of ML systems

Requires passion for computer security, suggesting that learners should already possess a foundational understanding of cybersecurity principles and practices

Involves modifying malware and fuzzing vulnerable programs, which may require learners to set up specific lab environments and have access to specialized tools

Covers techniques like poisoning and backdooring machine learning models, which could be misused if applied unethically or illegally

Reviews summary

Machine learning for red team cybersecurity

According to learners, this course covers a highly relevant and unique topic, blending machine learning and red team hacking in a practical and hands-on manner. Students praise the engaging instruction and find the wide array of topics like CAPTCHA breaking, malware evasion, and Deepfakes valuable. While some find it a challenging but rewarding experience, a few mention that having a solid technical background is beneficial, despite the course's aim to be accessible. The hands-on assignments are frequently highlighted as a major strength.

Beneficial to have prior security/ML/Python knowledge.

"While the instructor tries to make it easy, a strong background in Python and ML helps immensely."

"Some parts were challenging without a solid foundation in the underlying ML concepts."

"You should enroll only if you are really passionate about computer security..."

"This course will challenge you and introduce you to new ideas."

Covers many topics, but some feel it lacks depth.

"Overall it is a classic Udemy course: short and touching on a little bit of a lot topics just to give you a taste."

"It gives you a good overview of the topics he covers."

"I wish some sections went into more detail, but it covers a wide range of attacks."

"Good introduction to various ML/Red Team techniques, but you'll need to study further for mastery."

Instructor is likable and easy to follow.

"I found Emmanuel to be a likable easy to follow along with instructor..."

"The instructor explains complex concepts clearly, making them accessible."

"Emmanuel is clearly an expert and passionate about the subject, which makes lectures engaging."

Focuses on practical application with great labs.

"The hands-on assignments that require you to bypass CAPTCHA challenges... are super fun and practical."

"Really enjoyed the lab where we got to modify malware to evade classifiers."

"Solidifies concepts through concrete examples and exercises."

"Learning by doing with the provided code repository is the best way for this subject."

Highly relevant content at the ML/Security intersection.

"This is the first course I have ever seen to combine 2 of my passions (cyber security and data science)."

"Finally, a course addressing the crucial intersection of ML and cybersecurity from an offensive standpoint."

"Covers timely topics like Deepfakes and adversarial ML that are key for red teamers."

Setting up the lab environment can be tricky.

"Getting the environment configured correctly took some time."

"Encountered a few issues getting the deepfake rig set up as described."

"It was great to see how an actual pro does it [lab setup]."

"Need to be comfortable with virtual environments and dependencies."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Machine Learning for Red Team Hackers with these activities:

Review Python Fundamentals

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Strengthen your Python foundation to better understand and implement the machine learning techniques used in the course.

Browse courses on Python Scripting

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Review basic syntax and data structures.
Practice writing simple scripts.
Familiarize yourself with relevant libraries.

Brush Up on Machine Learning Concepts

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Revisit core machine learning concepts to prepare for applying them in a cybersecurity context.

Browse courses on Machine Learning Algorithms

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Review supervised and unsupervised learning.
Understand model evaluation metrics.
Familiarize yourself with common algorithms.

Read 'Practical Machine Learning for Cybersecurity'

Show steps

Gain a deeper understanding of how machine learning is applied in real-world cybersecurity scenarios.

View Melania on Amazon

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Read the book chapter by chapter.
Take notes on key concepts and techniques.
Try to implement some of the examples.

Four other activities

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Show all seven activities

Practice Adversarial Attacks on Sample Models

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Reinforce your understanding of adversarial attacks by practicing on publicly available machine learning models.

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Find sample machine learning models online.
Implement different adversarial attack techniques.
Evaluate the effectiveness of each attack.

Build a CAPTCHA Breaker

Show steps

Apply your knowledge to build a practical CAPTCHA breaking system, solidifying your understanding of the concepts covered in the course.

Show steps

Gather a dataset of CAPTCHA images.
Preprocess the data and train a model.
Evaluate and improve the model's performance.
Integrate the model into a CAPTCHA breaking bot.

Write a Blog Post on Deepfake Detection

Show steps

Deepen your understanding of Deepfakes by researching detection methods and sharing your findings in a blog post.

Show steps

Research current Deepfake detection techniques.
Summarize your findings in a blog post.
Include examples and practical advice.

Contribute to a Cybersecurity ML Project

Show steps

Gain practical experience by contributing to an open-source project that utilizes machine learning for cybersecurity.

Show steps

Find an open-source project on GitHub.
Identify areas where you can contribute.
Submit pull requests with your contributions.

Career center

Learners who complete Machine Learning for Red Team Hackers will develop knowledge and skills that may be useful to these careers:

Red Team Member

Red Team members simulate attacks on an organization's systems to identify weaknesses and improve security. This course is designed for individuals passionate about computer security and becoming the best at what they do, which aligns perfectly with the goals of a Red Team Member. The course helps you learn how to use machine learning to enhance your offensive capabilities. You will gain hands-on experience in performing penetration testing attacks on machine learning systems, bypassing CAPTCHAs, creating Deepfakes, and poisoning machine learning models. These skills will enable you to conduct more realistic and effective red team exercises.

See salaries and explore the career path for Red Team Member

Penetration Tester

A Penetration Tester identifies security vulnerabilities in systems and networks. This course helps you integrate machine learning into penetration testing. Knowing how to use machine learning to perform penetration testing attacks, and how to perform penetration testing attacks on machine learning systems, gives you an advantage. It is a strategic benefit to have knowledge of techniques like supercharging vulnerability fuzzing using machine learning. You'll also understand how to evade machine learning malware classifiers, create Deepfakes, and perform adversarial attacks on commercially available Machine Learning as a Service models, making you a more effective Penetration Tester.

See salaries and explore the career path for Penetration Tester

AI Security Engineer

AI Security Engineers specialize in securing artificial intelligence systems and protecting them from attacks. This course provides the skills necessary to excel in this emerging field. The course teaches you how to perform adversarial attacks on machine learning models. You will gain hands-on experience in poisoning, backdooring, and stealing machine learning models. Furthermore, this course provides solid knowledge of how to defend AI systems against real-world threats as an AI Security Engineer.

See salaries and explore the career path for AI Security Engineer

Vulnerability Researcher

Vulnerability Researchers discover and analyze security flaws in software and hardware. You can supercharge your research by learning fuzzing using machine learning. This course helps you understand how to use machine learning to automate and improve the vulnerability discovery process. You will learn how to write custom evolutionary fuzzers that leverage machine learning to find vulnerabilities. The course also covers techniques for evading machine learning-based defenses, which are increasingly used to protect software. Knowledge of these techniques will let you find new and more sophisticated vulnerabilities.

See salaries and explore the career path for Vulnerability Researcher

Malware Analyst

Malware Analysts examine malicious software to understand its behavior and develop countermeasures. This course helps you develop advanced skills in analyzing and evading machine learning-based malware detection systems. The course teaches you how to modify malware to bypass machine learning classifiers. You will also learn how to perform adversarial attacks on machine learning models, which can be used to understand how malware can evade detection. This knowledge will allow you to develop more effective detection and prevention techniques as a Malware Analyst.

See salaries and explore the career path for Malware Analyst

Threat Intelligence Analyst

Threat Intelligence Analysts gather and analyze information about emerging threats and adversaries. By learning how threat actors are leveraging machine learning for malicious purposes, you will be a more effective Threat Intelligence Analyst. The course helps you understand how to create Deepfakes. You will also learn how to poison, backdoor, and steal machine learning models. This advanced understanding is essential for providing timely and accurate threat intelligence to organizations, enabling them to proactively defend against sophisticated attacks.

See salaries and explore the career path for Threat Intelligence Analyst

Cybersecurity Analyst

As a Cybersecurity Analyst, you monitor and analyze security events to identify threats and vulnerabilities. This course helps you enhance your analytic abilities by providing you with hands-on experience in using machine learning for security tasks. The course teaches you how to evade machine learning malware classifiers and perform adversarial attacks, which are critical skills for understanding advanced threat actors. You will also learn how to break CAPTCHAs and create Deepfakes, which can help you understand the scope and scale of certain attacks. This comprehensive understanding strengthens your ability to detect, analyze, and respond to security incidents as a Cybersecurity Analyst.

See salaries and explore the career path for Cybersecurity Analyst

Cybersecurity Researcher

Cybersecurity Researchers investigate new threats and develop innovative security solutions. The course provides you with the knowledge and skills to conduct research on the security implications of machine learning. The course will introduce cutting-edge topics such as adversarial machine learning, model poisoning, and Deepfakes. By understanding these topics, you can perform research that advances the state of the art in cybersecurity.

See salaries and explore the career path for Cybersecurity Researcher

Application Security Engineer

Application Security Engineers focus on securing software applications and preventing vulnerabilities. The material in this course will help you enhance your ability to identify and mitigate security risks in applications that use or are targeted by machine learning. The course teaches you how to perform adversarial attacks on machine learning models as well as evade machine learning malware classifiers. The skills you learn here will help you to implement security best practices to protect applications from emerging threats as an Application Security Engineer.

See salaries and explore the career path for Application Security Engineer

Security Engineer

Security Engineers design, implement, and manage security systems and tools. The knowledge gained in this course helps you design more robust and intelligent security solutions. You will understand how machine learning can be used to automate and improve security tasks, such as vulnerability scanning and threat detection. The course also covers techniques for defending against machine learning-based attacks, such as adversarial attacks and model poisoning. This holistic understanding enables you to build and maintain secure systems as a Security Engineer.

See salaries and explore the career path for Security Engineer

Digital Forensics Analyst

Digital Forensics Analysts investigate cybercrimes and security incidents to gather evidence and reconstruct events. This course provides a solid foundation into how machine learning can be used in malicious ways. By learning how to create Deepfakes, bypass CAPTCHAs, and evade malware classifiers, you can better identify and trace the activities of cybercriminals. You will also learn how to analyze machine learning models for evidence of tampering or malicious intent, which is a critical skill for investigating AI-related cybercrimes.

See salaries and explore the career path for Digital Forensics Analyst

Cybersecurity Consultant

Cybersecurity Consultants advise organizations on how to improve their security posture. This course is useful because it provides practical knowledge and hands-on experience in the application of machine learning to cybersecurity. You will learn how to assess the security of machine learning systems, perform penetration testing attacks on AI-powered applications, and develop strategies to defend against AI-enabled threats. The course's focus on real-world scenarios and practical assignments makes it very valuable for providing clients with actionable security recommendations as a Cybersecurity Consultant.

See salaries and explore the career path for Cybersecurity Consultant

Security Architect

Security Architects design and implement comprehensive security solutions for organizations. This course provides a broad understanding of how machine learning can be used both to enhance security and to create new attack vectors. The course helps you understand the security implications of AI, and can help you make informed decisions about the use of AI in security architectures. You will also learn how to design secure machine learning systems and protect them from adversarial attacks. This comprehensive knowledge will enable you to build robust and resilient security architectures as a Security Architect.

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Security Consultant

Security Consultants advise organizations on how to protect their information assets. This course may be useful because it provides practical knowledge on the application of machine learning in both offensive and defensive security strategies. The course helps you understand the evolving threat landscape where AI is increasingly used by attackers. You will learn how to leverage machine learning techniques, such as intelligent fuzzing and evasion of malware classifiers, to improve a client's security posture. You will also learn about adversarial attacks on machine learning systems and how to defend against them, which is critical for providing comprehensive security advice.

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Information Security Manager

Information Security Managers are responsible for overseeing an organization's security policies and practices. This course may be useful because it provides a comprehensive understanding of the security risks and opportunities presented by machine learning. The course will inform your security strategies, policies, and incident response plans. You will also gain insights into how to train employees on the risks of AI-enabled threats. This practical knowledge will allow you to make informed decisions and ensure that your organization is well-protected as an Information Security Manager.

See salaries and explore the career path for Information Security Manager

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Machine Learning for Red Team Hackers.

Machine Learning for Red Team Hackers

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Machine learning for red team cybersecurity

Activities

Career center

Reading list

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