Free Udemy Course: AI in Cyber Security- Hands-On SOC automation

Unlock the power of Artificial Intelligence in Cyber Security.This course takes you from the foundations of AI and machine learning to building hands-on threat detection models, applying AI to real-world SOC operations, and preparing for the future of AI-driven defense.With step-by-step labs, real datasets, case studies, and practical workflows, you’ll learn not just theory but how to implement AI in your own security environment.What You’ll LearnUnderstand the core AI & ML concepts used in cyber defenseApply machine learning for intrusion detection and anomaly detectionBuild and evaluate deep learning models for zero-day attack detectionUse AI for log analytics, CTI, and SOC workflowsExplore adversarial AI risks and defensesDevelop a full end-to-end threat detection pipelineIntegrate AI with SOC tools like Splunk, Sentinel, and n8nAnalyze industry case studies (Google, Microsoft, startups)Anticipate the future of AI in security: SOC automation, federated learning, quantum security, and ethical challengesHands-On Labs IncludeBuilding intrusion detection with ML modelsDeep learning for anomaly detection (autoencoders)NLP for phishing email detectionMalware classification using ML featuresFraud detection with anomaly detection modelsEnd-to-end threat detection pipeline with deployment simulationSOC automation preview with n8n playbooksWho This Course Is ForCybersecurity professionals who want to add AI/ML skills to their toolkitSOC analysts & engineers looking to automate detection & responseData scientists & ML engineers exploring applications in cybersecurityStudents & career changers interested in AI-driven cyber defense