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  1. Courses
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  3. Automating Cybersecurity Operations with AI

Automating Cybersecurity Operations with AI

Learn to automate cybersecurity tasks with AI using no-code tools like ChatGPT, Google Colab, and Splunk Free. Streamline threat detection, incident response, and SOC workflows while defending against adversarial AI.

Rafiq Wayani
Rafiq Wayani
Cybersecurity | core | 9 hours |   Published: Oct 2025

    Discussions

Overview

STUDENTS*
RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Stop drowning in alerts—let AI handle the busywork while you make the calls that matter. In this fast, hands‑on workshop, you’ll learn how artificial intelligence can automate high‑volume security tasks—threat detection, alert triage, phishing analysis, and incident response—without writing code or building custom models. Using real datasets and free tools (ChatGPT, Google Colab with run‑ready notebooks, and Splunk Free), you’ll assemble no‑code workflows that turn scattered signals into clear decisions, dashboards, and documented actions. 

Skills You Will Gain

AI in Cybersecurity
Cybersecurity Automation with AI
AI for Incident Response
Machine Learning for Cybersecurity
Automate Security Operations

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

  • Explain the foundational concepts of artificial intelligence and its applications within cybersecurity. 
  • Apply AI techniques to detect threats, analyse security incidents, and coordinate rapid response actions. 
  • Implement AI-driven automation to streamline Security Operations Center (SOC) workflows and enhance efficiency. 
  • Develop strategies to counter adversarial AI techniques and defend against malicious automation threats. 

Prerequisites

Basic understanding of cybersecurity concepts, familiar with security tools, fundamental knowledge of how machine learning works, and critical thinking and pattern recognition skills 

Who Should Attend

This course is designed for analysts, SOC teams, incident responders, and security professionals who want to quickly apply AI to improve their cybersecurity operations. No coding skills are needed—just practical, hands-on techniques to enhance threat detection, response, and workflow automation.

Curriculum

Instructors

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
Rafiq Wayani

Rafiq Wayani

Rafiq Wayani serves as the Principal Architect and Trainer, offering large-scale IT project management services to a broad spectrum of clients, including small businesses, national enterprises, and multinational corporations. With deep expertise in systems engineering, systems integration, and server virtualization, he delivers tailored solutions that drive performance, efficiency, and security across complex IT environments. Rafiq works closely with C-level stakeholders, providing strategic guidance and recommending initiatives that align with organizational goals while maximizing return on investment (ROI). His ability to bridge technical execution with business strategy makes him a trusted advisor in high-impact technology decisions. In addition to his consulting work, Rafiq offers customized training solutions designed to meet the specific needs and goals of each client. Whether through live on-site or virtual training sessions, he provides unique, in-depth, and hands-on content that is often difficult to find elsewhere. His training programs are crafted to equip learners not only to overcome real-world IT challenges but also to successfully earn industry certifications. Driven by a passion for empowering others, Rafiq is committed to helping individuals and organizations build the skills and knowledge necessary for long-term success in the ever-evolving world of technology.
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