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 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 n8n

• Analyze 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 Include

• Building 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 simulation

• SOC automation preview with n8n playbooks

Who This Course Is For

• Cybersecurity professionals who want to add AI/ML skills to their toolkit

• SOC analysts & engineers looking to automate detection & response

• Data scientists & ML engineers exploring applications in cybersecurity

• Students & career changers interested in AI-driven cyber defense