Automating Cybersecurity Operations with AI

Transform security operations with practical AI-driven automation. In this hands-on course, cybersecurity professionals learn how to use Python, machine learning, and large language models (LLMs) such as ChatGPT and Claude to automate threat detection, alert triage, incident response, and security operations center (SOC) workflows. Through real-world coding exercises and security datasets, you will build automated phishing detection systems, network anomaly detection models, threat intelligence enrichment pipelines, and AI-assisted investigation tools. You'll also learn how to integrate security APIs, develop automated response playbooks, implement Retrieval-Augmented Generation (RAG) for security knowledge management, and design production-ready security automation architectures. By the end of the course, you will have created a complete AI-powered SOC platform that combines detection, investigation, response, and analyst assistance into a unified workflow. Whether you're a SOC analyst, security engineer, or cybersecurity professional, you'll gain practical skills in AI cybersecurity automation, Python security scripting, SOAR workflows, incident response automation, and AI-powered threat analysis that can be applied immediately in modern security environments.