Fee structure:

Objectives

The AI+ Ethical Hacker course offers a comprehensive look at how Artificial Intelligence is revolutionizing ethical hacking practices. It covers the integration of AI into traditional hacking methodologies, including enhanced threat detection, automated vulnerability assessments, and advanced reconnaissance techniques. This category explores the fundamentals of AI technologies such as machine learning and deep learning and their applications in cybersecurity. It also highlights AI-driven tools for penetration testing, network security, and threat intelligence, showcasing how these innovations are reshaping the landscape of ethical hacking to create more sophisticated and effective security solutions.

Course Objectives

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• Establish foundational knowledge in Ethical Hacking, including methodology and legal aspects, as well as understanding hacker types, motivations, and information-gathering techniques.

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• Introduce AI's role in Ethical Hacking, covering fundamentals, technologies, and applications such as Machine Learning and Natural Language Processing.

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• Explore AI tools and technologies for threat detection, penetration testing, and behavioral analysis in Ethical Hacking scenarios.

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• Delve into AI-driven reconnaissance techniques, vulnerability assessment, and penetration testing, including automated scanning and fuzz testing.

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• Examine the intersection of Machine Learning with threat analysis, behavioral analysis, incident response, identity management, system security, and ethical considerations in AI and Cybersecurity.