Automating Cybersecurity Operations with AI
This comprehensive, hands-on course teaches cybersecurity professionals how to leverage artificial intelligence and Python automation to transform security operations from reactive manual processes into proactive, intelligent automated systems.
Overview
This comprehensive, hands-on course teaches cybersecurity professionals how to leverage artificial intelligence and Python automation to transform security operations from reactive manual processes into proactive, intelligent automated systems. Through intensive practical training using ChatGPT, Claude APIs, and Python scripting, learners build production-ready automation tools that address the most time-consuming SOC challenges, overwhelming alert volumes, multi-vector threat detection, evidence collection, and rapid incident response.
The curriculum progresses through four advanced modules: Module 1 establishes AI foundations in cybersecurity, compares machine learning versus large language models, and guides students through building their first AI-powered security pipeline; Module 2 focuses on automated threat detection, where students develop sophisticated systems for phishing detection using ML and AI, network anomaly detection via Isolation Forest algorithms, and threat intelligence automation that extracts and enriches IOCs through VirusTotal and AbuseIPDB APIs. Module 3 transitions into incident response automation, teaching students to build AI-assisted alert triage systems with automatic enrichment, automated investigation engines that correlate evidence across multiple log sources, and orchestrated response playbooks capable of containment actions under human supervision. Finally, Module 4 prepares students for real-world deployment, covering RAG-powered security playbooks, event-driven autonomous pipelines, and adversarial AI defense techniques, including testing against AI-generated evasion attacks and model hardening.
Each module includes hands-on coding activities with real security datasets, and the course culminates in a project where students build a complete AI-powered SOC platform that integrates detection, investigation, response, and analyst assistance into a unified, continuously running system. By the end, students leave with a portfolio of deployable automation tools and practical experience that dramatically reduces “Mean Time to Respond” in real-world security operations.
Skills you'll gain
What you'll learn
- Explain how AI and machine learning integrate into cybersecurity workflows and set up Python environments with AI API integrations for security automation.
- Build automated threat detection systems for phishing, network anomalies, malware classification, and IOC extraction using Python, ML, and LLMs.
- Create automated incident response pipelines that perform alert enrichment, investigation, containment, and ticketing using Python and AI-assisted analysis.
- Design and deploy production-ready AI security automation using playbooks, RAG-based knowledge retrieval, event-driven architectures, and defenses against adversarial AI attacks.
Who Should Attend
Prerequisites
This course is designed for cybersecurity professionals who want to strengthen their security operations capabilities using AI and automation. It is particularly useful for cybersecurity analysts and SOC team members responsible for alert triage, threat detection, phishing analysis, and incident response, as well as security engineers and IT or network security professionals who want to build automated security workflows and apply AI tools to improve defensive security operations.
Learners should have basic Python programming knowledge and a foundational understanding of cybersecurity concepts such as SIEM systems, security logs, and common threat types. Familiarity with command-line interfaces will help when running scripts and tools used in the course, and participants should have access to a computer with Python 3.8 or later installed and internet connectivity for using AI APIs during hands-on exercises.
Chapters
Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.
Segment 00: Welcome to the Course: Course Overview
Segment 01: Intro Video to Course
Segment 02: Module Introduction
Segment 03: The Modern SOC Crisis: Alert Fatigue and Resource Gaps
Segment 04: AI as the Force Multiplier: Transforming Security Operations
Segment 05: Hands-On: Manual vs. AI-Automated Alert Analysis
Meet your instructors

Aseem Singhal
View my channelFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Are Starweaver's courses designed for beginners or advanced students?
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
What payment options are available for Starweaver courses?
We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.
Do you offer refunds?
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.