Ethical Hacking

Coursera MOOC / Non-credit USD 49
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Ethical Hacking

About this course

Practice ethical hacking concepts using real-world tools, guided labs, and simulated attack scenarios designed for beginners. This Ethical Hacking Specialization is suitable for those who want to become ethical hackers. It features simulations of real-world attacks, demonstrations from industry pros, and easy-to-understand definitions that mirror real-life scenarios. The specialization is hands-on specific and covers 40+ demos using multiple tools like Burp Suite, NMAP, Shodan, ShellGPT, Advanced IP Scanner Tool , Snort, Snow and many more. The specilization also covers how ethical hacking is done in this era of Artificial Intelligence (AI) and you will work with AI-enabled ethical hacking tools. Tools and Environments You’ll Explore Network scanning and enumeration tools Vulnerability assessment utilities Web application testing tools Password and authentication testing tools Traffic analysis and packet inspection tools Linux-based security testing environments Ethical Hacking Domains Covered in the specilization: Footprinting and reconnaissance Scanning networks and enumeration Vulnerability analysis System hacking techniques Malware and persistence concepts Sniffing and traffic analysis Social engineering fundamentals Denial-of-service Web application attacks Wireless attack techniques Cloud, IoT, and mobile attack surfaces Cryptography and secure communications

What you'll learn

  • familiarity with ethical hacking tools and techniques
  • ability to simulate real-world cyber attacks
  • understanding of network scanning and enumeration
  • knowledge of vulnerability assessment and system hacking
  • insight into malware and social engineering tactics

Course objectives

  • develop hands-on skills in ethical hacking using real tools
  • apply ethical hacking methods to assess vulnerabilities
  • learn to protect systems against cyber threats
  • gain insight into the impact of AI in the field of cybersecurity

Skills you'll gain

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