AI & Cybersecurity for Beginners

Hands-on SOC skills with ChatGPT + Python, Splunk, Wireshark, AWS/Azure, TensorFlow & PyTorch

What you’ll learn
✓ Understand core cybersecurity concepts (CIA triad, threat modeling, vulnerabilities, risk management) and apply them to real-world scenarios.
✓ Use SIEM and log analysis tools (Splunk, Elasticsearch) to investigate incidents, detect threats, and create actionable security alerts.
✓ Analyze network traffic with Wireshark and Zeek to identify suspicious behavior, malware indicators, and attacker techniques.
✓ Build practical AI-powered security workflows using Python, ChatGPT, TensorFlow, and PyTorch for phishing detection and automation.
✓ Apply leading cybersecurity frameworks (NIST CSF, ISO 27001, CIS Controls, MITRE ATT&CK) to design security controls and defensive strategies.
✓ Secure cloud environments on AWS and Azure using monitoring and threat detection (including Amazon GuardDuty) to improve cloud security posture.

Requirements
● No advanced cybersecurity or AI experience required – beginners are welcome.
● A laptop/PC with internet access (Windows, macOS, or Linux).
● Basic computer skills (files, folders, installing software) and willingness to practice hands-on labs.
● Helpful but optional: basic Python fundamentals and basic networking concepts (IP, DNS, HTTP) – we explain what you need as we go.

Description
“This course contains the use of artificial intelligence.”
AI is changing cybersecurity fast – both for defenders and attackers. This beginner-friendly course teaches you the essentials of cybersecurity and how to apply modern AI tools to real security tasks. You’ll build a strong foundation in security concepts (CIA triad, threats vs vulnerabilities, risk, attack surface) and then practice hands-on workflows used in real SOC and blue-team environments.

You’ll learn how security teams detect and investigate threats using log analysis and SIEM tools like Splunk and Elasticsearch, and how to analyze network traffic with Wireshark and Zeek. On the AI side, you’ll use ChatGPT and Codex-style workflows for faster research, documentation, scripting, and automation – plus learn about prompt hacking/jailbreaking and how to protect AI systems against these attacks. You’ll also get introduced to practical machine learning and deep learning with Python, TensorFlow, and PyTorch, including a real use case like building a phishing email defense system.

Cloud security is included too: you’ll work with AWS and Azure concepts and explore threat detection services like Amazon GuardDuty. Throughout the course, we connect everything back to industry frameworks such as NIST CSF, ISO 27001, CIS Controls, and MITRE ATT&CK so you understand how professionals structure security programs and detections.

By the end, you’ll have a practical, job-relevant toolkit to start in cybersecurity, improve your SOC skills, and confidently combine AI with modern defensive security.

Who this course is for
■ Beginners who want to start a career in cybersecurity, SOC, or blue team security.
■ Students and IT professionals who want practical skills in SIEM, log analysis, and network security (Splunk, Elasticsearch, Wireshark, Zeek).
■ Developers and analysts who want to apply AI in cybersecurity using Python, ChatGPT, TensorFlow, and PyTorch.
■ Anyone preparing for cybersecurity jobs and looking for a hands-on course that combines cloud security (AWS/Azure) with modern AI techniques.