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.

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.

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.
More Info