Cyber Security

Complete Overview Of The Course

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Topics Covered

Introduction to Cyber Security
  • Definition, importance, and scope
  • Types of Cyber Threats
  • Basic Concepts of CIA
  • Cybersecurity Ethics, Principles and Best
    Practices
Introduction to Linux
  • Basic commands
  • Networking commands
  • Service and logs.
  • System Administration Commands
  • Linux File system / Directory’s
Introduction to Windows
  • Access Control Types, Permissions, and UAC
  • Windows Firewall and Windows Defender
  • Windows Remote Management and RDP
  • Basic CMD Commands and Batch Scripting
  • Introduction to PowerShell
  • Using CMD and PowerShell for System
  • Administration and Basic Security Tasks
Introduction to Networking
  • Types of networks
  • Understanding network topologies
  • Introduction to Network
  • Protocols and Ports
  • IP Addressing and Subnetting
  • Firewall and its configuration
Ethical Hacking
  • Footprinting, Reconnaissance, and Enumeration
  • Vulnerability Assessment and Reporting.
  • Windows and Linux System Hacking
    Password Cracking and hashing
  • Wireshark and Network testing
  • Wireless Network Hacking
  • Digital Forensics.
  • Cloud Computing and Security AWS/Azure
    Tor, Anonymous and Proxy service
Web App Security / Pentesting
  • Introduction to Web Hacking
  • Introduction to Burp Suite
  • Fuzzing & Directory Enumeration
  • Subdomain Enumeration
  • Authentication Bypass
    File inclusion Vulnerability.
  • File upload vulnerability.
  • Cross-site Scripting XSS
  • Command Injection
    Sql Injection
    OWASP TOP 10-2021
SOC and SIEM
  • Security Operations Center (SOC)

  • Security Incident and Event Management SIEM)

  • Tools, installation, and configuration

  • Building IDS, Firewalls, and Honeypots

  • Deployment and monitoring

  • Documenting and Reporting.

Red/Blue/Purple Team Scenarios
  • Blue Team Defense.

  • Red Team Offensive testing.

  • Purple Team Organization Task.

Offensive Penetration Testing
  • Attacking real world Vulnerable Service’s

  • Testing web application for Vulnerability
    Finding.

  • Anonymity, Dark web, and secure
    communication.

Security Auditing
  •  Comprehensive Security Checklists for Auditing,

Important Course Highlights

  • Pre – Recorded Content.
  • Live Group Q&A Session.
  • Course Community.
  • Unlimited Lifetime Access.
  • Internship Opprtunity.
  • Certificate Of Completion.
  • 00Hours
  • 00Minutes
  • 00Seconds

Course Description

This course is designed to immerse you in the fast-evolving field of Cyber Security. Whether you’re a beginner or an experienced learner, our program guides you from core security fundamentals to advanced defensive techniques. You’ll explore key areas like network security, ethical hacking, threat analysis, and encryption, all aligned with industry standards. With a mix of theory, hands-on labs, and practical scenarios, you’ll gain the skills needed to identify threats, secure systems, and build strong cybersecurity practices in today’s digital world.

Course Content

Why Choose Us?

What You Will Learn By This Course

AI Ethics

AI Ethics

Machine Learning

Machine Learning

Python Programming

Python Programming

Certificates

Our Mentors

Our Programs

How Can We Help You

What are the prerequisites for enrolling in the Cyber Security Course?

Basic programming knowledge in Python and a fundamental understanding of mathematics, particularly linear algebra and calculus, are recommended. No advanced prerequisites are required.

Who should take this Cyber Security course?

This course is ideal for beginners wanting to enter the field of machine learning, data enthusiasts looking to deepen their knowledge, career changers transitioning into data science, and professionals seeking to enhance their skills in machine learning.

What topics are covered in Cyber Security course?

Topics include Python programming, data manipulation with NumPy and Pandas, data visualization, regression models, classification algorithms, clustering, neural networks, and real-world applications of machine learning.

How long is this course

The course typically spans 6-8 weeks, depending on your pace, including lectures, assignments, and hands-on projects.

Will I recieve a certificate on completion of this course?

Yes, you will receive a certificate of completion and a Letter of Recommendation upon successfully finishing the course and all required assignments and projects.