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AI-Powered Ethical Hacking & Penetration Testing
Role Play
Rating: 4.6 out of 5(6 ratings)
948 students

AI-Powered Ethical Hacking & Penetration Testing

Learn cutting-edge penetration testing for AI systems, identify vulnerabilities, and secure GenAI-powered applications e
Last updated 2/2026
English
English [Auto],

What you'll learn

  • Explain ethical hacking principles and their importance in AI-driven environments.
  • Apply established penetration testing frameworks (OSSTMM, PTES) to AI systems
  • Identify and test AI-specific vulnerabilities including adversarial, poisoning, and inversion attacks
  • Conduct AI security risk assessments and threat modeling
  • Navigate ethical and legal constraints in AI security testing

Course content

5 sections20 lectures1h 26m total length
  • Section Intro1:03
  • What is Ethical Hacking?5:38

    Explore the foundations and evolving landscape of ethical hacking, blending traditional methodologies with AI-powered tools to securely test, identify, and remediate vulnerabilities before threats arise.

  • What is Ethical Hacking?
  • Understanding How GenAI is Changing Ethical Hacking
  • How Does GenAI Change the Landscape?7:03

    Leverage generative ai to accelerate offensive and defensive security, automating vulnerability scanning, reconnaissance, exploitation, threat detection, and incident response for stronger, more adaptive cybersecurity.

  • How Does GenAI Change the Landscape?
  • Reading Material0:17
  • Section Summary0:24
  • Exploring the Intersection of Ethical Hacking and Generative AI

Requirements

  • Basic understanding of cybersecurity concepts (preferred, not required).
  • Familiarity with Python or a scripting language is helpful.
  • Interest in AI systems, machine learning, or penetration testing.
  • A PC/Mac with internet connection.

Description

"Ethical Hacking & Penetration Testing with Generative AI" teaches you how to ethically assess and secure AI-powered applications using proven penetration testing frameworks adapted for the unique challenges of machine learning systems.

You’ll explore what ethical hacking is, why it matters in the age of AI, and how to conduct penetration tests from reconnaissance to reporting. Key topics include adversarial attacks, data poisoning, and model inversion, alongside methodologies like PTES and OWASP Testing Guide tailored for AI contexts.

You’ll also learn to prioritize risks, create clear and actionable reports, and navigate the legal and ethical considerations that govern AI security testing. Each module blends foundational knowledge with practical exercises—so you’ll gain not just theory, but the hands-on skills to identify and mitigate AI-specific threats.

The course wraps with a look at future trends in AI security, preparing you to adapt as both attack methods and defense strategies evolve.

By the end, you’ll be ready to conduct AI-focused penetration tests that are ethical, thorough, and relevant to real-world security challenges.

What You Will Learn

  • Define the principles and scope of ethical hacking in AI-driven environments.

  • Apply penetration testing frameworks (PTES, OWASP Testing Guide) to AI systems.

  • Identify AI-specific attack vectors including adversarial, poisoning, and inversion attacks.

  • Perform AI security risk assessments and threat modeling.

  • Create and present professional penetration testing reports.

  • Navigate legal and ethical boundaries in AI penetration testing.

  • Understand emerging trends in AI security and adapt your approach accordingly.

Who Is This Course For

  • Ethical hackers and penetration testers expanding into AI security.

  • Cybersecurity professionals seeking AI-specific defense skills.

  • AI engineers and data scientists who want to understand attack vectors.

  • Security enthusiasts aiming for a career in AI-focused penetration testing.

Requirements

  • Basic understanding of cybersecurity concepts (preferred, not required).

  • Familiarity with Python or another scripting language is helpful.

  • Interest in AI systems, machine learning, or penetration testing.

  • A PC or Mac with internet access.

About the Instructor

ProTech Academy is dedicated to providing high-quality, practical cybersecurity and AI training. Our experienced instructors have worked in both offensive and defensive security, bringing real-world penetration testing experience into every lesson.

Instructor Bio: Our instructors have extensive experience in ethical hacking, AI security, and penetration testing. They combine hands-on technical expertise with a passion for teaching, ensuring every student leaves with practical, actionable skills.

FAQ Section

Who is this course best suited for?
Anyone with a technical background interested in AI security. Ideal for ethical hackers, cybersecurity professionals, AI engineers, and advanced students.

Do I need to know how to code?
Basic programming knowledge helps, but no deep coding is required to benefit from the course.

Are there any refunds or guarantees?
Yes! Udemy offers a 30-day money-back guarantee if you’re not satisfied for any reason.

Will I be able to communicate with the instructor?
Yes. You’ll be able to post questions, get feedback, and interact with peers in the course forum.

What tools or software will I need?
You’ll need a code editor (such as VS Code), internet access, and optionally Python for practical exercises.

Enroll Now

Whether you’re advancing your cybersecurity career or strengthening your organization’s defenses, this course will equip you with the knowledge and tools to succeed in AI-focused ethical hacking.

Who this course is for:

  • Ethical hackers and penetration testers looking to expand into AI security.
  • Cybersecurity professionals seeking AI-specific defense skills.
  • AI engineers and data scientists who want to understand attack vectors.
  • Security enthusiasts and students pursuing a career in AI cybersecurity.