AI in Cyber Security- Hands-On SOC automation

About this course

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 Learn

Understand the core AI & ML concepts used in cyber defense

Apply machine learning for intrusion detection and anomaly detection

Build and evaluate deep learning models for zero-day attack detection

Use AI for log analytics, CTI, and SOC workflows

Explore adversarial AI risks and defenses

Develop a full end-to-end threat detection pipeline

Integrate 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 challenges

Hands-On Labs IncludeBuilding intrusion detection with ML models

Deep learning for anomaly detection (autoencoders)NLP for phishing email detection

Malware classification using ML features

Fraud detection with anomaly detection models

End-to-end threat detection pipeline with deployment simulationSOC automation preview with n8n playbooks

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