Available soon
About Course
Course Overview
As cybersecurity threats grow in complexity and volume, large enterprises must move beyond detection and toward intelligent, automated defense. This advanced course is designed for cybersecurity professionals and IT leads who already have a strong foundation in both cybersecurity and artificial intelligence (AI). The focus here is on operationalizing automation at scale—enhancing protection, accelerating response times, and reducing manual intervention across vast digital environments.
Participants will explore AI-powered automation techniques in incident response, risk management, access control, and system hardening. From predictive modeling to orchestration platforms and autonomous patching, this course teaches how to deploy AI systems not only for smarter threat mitigation but for sustained resilience in large enterprise environments.
Course Objectives
By the end of this course, participants will be able to:
- Design and implement end-to-end AI-driven automated cybersecurity systems.
- Evaluate and deploy cybersecurity automation tools in enterprise environments.
- Use AI for predictive attack modeling, real-time defense, and behavioral threat analytics.
- Integrate orchestration and automation platforms (e.g., SOAR) into incident response pipelines.
- Optimize enterprise cybersecurity workflows using bots, scripts, and ML-based threat classifiers.
- Identify ethical, operational, and regulatory risks introduced by automation and mitigate them effectively.
Course Content
Module 1: Introduction to Automation in Cybersecurity
-
Lesson 1
00:00