AI-Driven Security, Incident response and automation | Udemy

Cyber threats are evolving faster than human analysts can respond. This course equips security professionals, SOC analysts, and aspiring cybersecurity practitioners with the knowledge and hands-on skills to harness artificial intelligence for smarter, faster, and more effective security operations.

What you will learn in this course:

• Fundamentals of AI and machine learning — types of models, how they work, and why they matter for cybersecurity
• How AI is transforming Security Operations Centers across threat detection, investigation, and response
• AI-driven alert triage and prioritization to cut through noise and focus on real threats
• Automated threat identification and isolation using intelligent workflows
• Incident response automation — how AI accelerates containment, analysis, and remediation
• Threat intelligence enrichment using AI to add context and correlation to raw security data
• Security orchestration and how AI connects tools, teams, and processes into unified response pipelines
• AI-augmented investigation techniques for faster root cause analysis
• Real-world case study integrating Claude Desktop with a local Splunk instance using MCP (Model Context Protocol)

Whether you are a SOC analyst looking to automate repetitive tasks, a security engineer exploring AI tooling, or an IT professional transitioning into cybersecurity, this course gives you a competitive edge in a field where speed and precision are everything.