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Computer Network Security & Incident Response with Gen AI
24 students

Computer Network Security & Incident Response with Gen AI

Master modern network security, incident response & Gen AI for threat detection, log analysis, SIEM, and cyber defense.
Created bySkills Marathon
Last updated 7/2025
English
English [Auto],

What you'll learn

  • Understand core network security concepts including firewalls, VPNs, IDS/IPS, and TCP/IP protocols.
  • Apply the cybersecurity incident response lifecycle to detect, respond to, and recover from real-world threats.
  • Use Generative AI tools (e.g., ChatGPT) to analyze logs, generate response scripts, and enhance threat intelligence workflows.
  • Perform hands-on security operations using Python, SIEM tools, and Gen AI for automation, detection, and analysis.

Course content

6 sections62 lectures9h 10m total length
  • introduction9:57

    Learn to secure your network from design to operation, monitor incident handling, and perform penetration testing using fundamentals of computer networks, TCP/IP, OSI, firewalls, IDS/IPS, and wireless security.

  • video110:29

    Define a computer network as a group of hosts and peripherals connected via transmission media, wired or wireless, enabling resource sharing and services from cloud computing to IoT.

  • video211:06

    Explore how computer networks use physical and logical topologies, including point-to-point, bus, ring, star, and mesh, with their advantages, disadvantages, and security implications.

  • video39:47

    Explore how computer networks are categorized by transmission mode, geography, and administration, detailing simplex, half duplex, full duplex, baseband and broadband, LAN and WAN, and peer-to-peer versus client-server architectures.

  • video410:38

    Explore network devices and services, from NICs and hubs to switches, routers, and access points, and understand how they manage collision domains on wired and wireless LANs.

  • video59:19

    Explore wired and wireless transmission media, including copper coaxial and twisted pair (STP/UTP), fiber optic (single/multi-mode), and Wi-Fi, detailing cables, connectors, EMI, speeds, and security implications.

  • video69:56

    Explore the ISO OSI seven-layer model and how data moves between hosts from physical to application. Learn how TCP/IP maps to OSI, enabling vendor-independent internet transmission.

  • video711:50

    Explore the OSI model's application, presentation, and session layers, and how they enable end-to-end communication by preparing service data and handling data representation, encryption, compression, and session control.

  • video810:46

    Examine the transport and network layers, including segmentation, reassembly, sequencing, loss recovery, and addressing, to enable end-to-end reliable or best effort delivery with routing decisions.

  • video98:32

    Analyze the data link and physical layers, covering hop-to-hop reliability, physical versus logical addressing, frame construction, and error detection with fcs, plus csma cd and csma ca flow control.

  • video1010:04

    Explore the ISO OSI model and its seven abstraction layers—interoperability with standard protocols through open systems interconnection.

Requirements

  • No prior cybersecurity experience required—basic computer literacy is enough to get started.
  • A laptop or desktop with internet access for practicing labs and AI tools.
  • Curiosity to learn about both traditional and modern cybersecurity approaches.
  • Familiarity with Python or command-line interfaces can enhance the learning experience.

Description

In today’s rapidly evolving digital world, cyber threats are smarter—and so must be your defenses. This all-in-one course combines traditional network security with cutting-edge Generative AI tools to help you build a future-proof cybersecurity skillset.

You’ll start with the fundamentals of computer networks and security protocols, then dive deep into cyber threat modeling, incident response, and the use of AI-powered systems for proactive defense.

Whether you're a student, tech enthusiast, system administrator, or a professional aiming to transition into cybersecurity, this course provides job-ready skills for today’s tech landscape and beyond, including resume-ready projects and use cases.

What You’ll Learn:

  • Network security principles (TCP/IP, firewalls, VPNs, IDS/IPS)

  • End-to-end Cybersecurity Incident Response lifecycle

  • Threat detection using logs, packet analysis, and SIEM tools

  • How to use Generative AI (like ChatGPT) to:

    • Automate alert triage and documentation

    • Assist in real-time response playbooks

    • Analyze suspicious logs and generate insights

    • Simulate phishing/social engineering scenarios for training

  • Integrating Python + LLMs for security use cases

  • Hands-on case studies, labs, and real-world incident simulations

  • Role of generative models in SOC operations and security automation

By the end, you’ll confidently detect, respond to, and prevent threats—enhanced by the power of Gen AI and modern cybersecurity practices.modern cybersecurity practices.

Who this course is for:

  • Beginners, IT students, or professionals looking to start a career in cybersecurity or SOC (Security Operations Center).
  • Junior network admins, system engineers, and DevOps professionals seeking hands-on cyber defense skills.
  • AI/ML enthusiasts and Python developers curious about applying Gen AI in cybersecurity workflows.
  • Anyone passionate about learning how to protect systems, automate detection, and build intelligent response systems using AI.