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 lifecycleThreat detection using logs, packet analysis, and SIEM toolsHow to use Generative AI (like ChatGPT) to:Automate alert triage and documentationAssist in real-time response playbooksAnalyze suspicious logs and generate insightsSimulate phishing/social engineering scenarios for trainingIntegrating Python + LLMs for security use casesHands-on case studies, labs, and real-world incident simulationsRole of generative models in SOC operations and security automationBy 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.