AI for Cyber Security : Threat Detection, SOC Automation – Free Udemy Course
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AI for Cyber Security : Threat Detection, SOC Automation

Course Overview

CategoryIT
DurationSelf-paced
InstructorIndependent Udemy instructor
LanguageEnglish
Rating4.5 / 5
PriceFree (was paid)

What You'll Learn

  • Module 4: AI for SOC AutomationExplore AI-powered SOAR platforms, playbook automation, and the balance between human and AI decision-making in modern security operations.
  • Module 5: AI for Incident ResponseLearn how AI assists in decision-making, predicts breach impact, and optimises real-time alert management and forensic reconstruction.
  • Module 6: AI for User Behaviour Analytics (UBA)Apply ML models to baseline user activity, detect insider threats, and use graph-based analytics for behavioural risk scoring.
  • Module 7: AI for Malware AnalysisPerform AI-driven malware classification using sandbox analysis, embeddings, and the EMBER dataset to detect and forecast malicious behaviour.
  • Module 8: AI in Cloud SecuritySecure cloud environments using AI for misconfiguration detection, anomaly analysis, and posture management with AWS GuardDuty or Azure Defender.
  • Module 9: AI in Network SecurityAnalyse network traffic, identify DDoS patterns, and apply ML models for encrypted traffic analysis and zero-trust segmentation.
  • Module 10: AI in Endpoint SecurityAutomate EDR workflows, apply federated learning, and detect ransomware with behaviour-based AI models.
  • Module 11: Limitations & Ethical ConsiderationsStudy bias, false positives, and privacy issues in AI systems to ensure ethical cybersecurity practices.
  • Module 12: Future of AI in Cybersecurity + Capstone ProjectDesign an AI-augmented SOC workflow, integrating tools, automation, and analytics for intelligent cyber defence.

About This Free Course

free applied artificial intelligence machine learning quizzes course is redefining the future of cybersecurity — and this course is your complete roadmap to mastering it.

In AI for Cybersecurity: Threat Detection & SOC Automation, you’ll learn how AI, Machine Learning (ML), and Deep Learning (DL) are transforming how organisations detect, prevent, and respond to cyber threats.

This program blends real-world labs, tools, and automation workflows to prepare you for the next generation of AI-driven cybersecurity roles — from SOC analyst to security automation engineer.

What You’ll Learn Across Modules:

  • Module 1: Introduction to AI in Cybersecurity
    Learn the foundations of AI, ML, and DL, explore their evolution, benefits, and challenges, and see how AI integrates into real-world SOC environments with tools like Darktrace and CrowdStrike.

  • Module 2: AI for Threat Detection
    Understand machine learning for anomaly detection, supervised vs unsupervised learning, and how AI enhances IDS systems like Suricata for faster and smarter threat identification.

  • Module 3: AI for Threat Intelligence
    Discover how Natural Language Processing (NLP) is used to analyse phishing data, automate enrichment with APIs such as VirusTotal and AbuseIPDB, and strengthen threat intel pipelines.

  • Module 4: AI for SOC Automation
    Explore AI-powered SOAR platforms, playbook automation, and the balance between human and AI decision-making in modern security operations.

  • Module 5: AI for Incident Response
    Learn how AI assists in decision-making, predicts breach impact, and optimises real-time alert management and forensic reconstruction.

  • Module 6: AI for User Behaviour Analytics (UBA)
    Apply ML models to baseline user activity, detect insider threats, and use graph-based analytics for behavioural risk scoring.

  • Module 7: AI for Malware Analysis
    Perform AI-driven malware classification using sandbox analysis, embeddings, and the EMBER dataset to detect and forecast malicious behaviour.

  • Module 8: AI in Cloud Security
    Secure cloud environments using AI for misconfiguration detection, anomaly analysis, and posture management with AWS GuardDuty or Azure Defender.

  • Module 9: AI in Network Security
    Analyse network traffic, identify DDoS patterns, and apply ML models for encrypted traffic analysis and zero-trust segmentation.

  • Module 10: AI in Endpoint Security
    Automate EDR workflows, apply federated learning, and detect ransomware with behaviour-based AI models.

  • Module 11: Limitations & Ethical Considerations
    Study bias, false positives, and privacy issues in AI systems to ensure ethical cybersecurity practices.

  • Module 12: Future of AI in Cybersecurity + Capstone Project
    Design an AI-augmented SOC workflow, integrating tools, automation, and analytics for intelligent cyber defence.

  • By the end of this course, you’ll be able to build, automate, and manage AI-powered defence systems, preparing you for cutting-edge roles in cybersecurity and AI operations.


    Who Should Take This Course

    "AI for Cyber Security : Threat Detection, SOC Automation" is aimed at people who want a practical, structured introduction to it without paying full price for it. It's a solid fit if you're starting out in it and want a guided course rather than piecing tutorials together yourself, if you've tried free YouTube content on the topic and want something more organized, or if you already work in a related area and want a refresher you can finish at your own pace. Since enrollment happens on Udemy itself, you keep full access to view the lectures, download any provided resources, and revisit the material later — this isn't a stripped-down or time-limited version of the course.

    Why This Course Is Worth Taking

    Our take: this listing earns a spot on FreeWebCart because the coupon we verified actually brings the price to $0, not just a token discount, and the course carries a strong rating on Udemy. That combination — real reviews plus a working 100% OFF code — is what we look for before publishing a it course. It won't replace hands-on experience or a full degree program, but as a low-risk way to test whether it is worth pursuing further, or to pick up one specific skill, the free price tag makes it an easy yes while the coupon lasts.

    Pros & Cons

    👍 Pros

    • 100% free to enroll via this coupon
    • Lifetime access on Udemy once enrolled, even after the coupon expires
    • Self-paced — no fixed schedule or live sessions to attend

    👎 Cons

    • Coupon is time-limited and can expire before you enroll
    • No live instructor support — questions go through Udemy's Q&A, not us
    • Certificate is a Udemy completion certificate, not an accredited qualification

    Frequently Asked Questions

    Is "AI for Cyber Security : Threat Detection, SOC Automation" really free?

    Yes — we verified a 100% OFF Udemy coupon for this it course before publishing it. Enroll directly on Udemy using the button below; no credit card is needed while the coupon is active.

    How long will this coupon last?

    Udemy coupons typically last 1–3 days or expire after roughly 1,000 enrollments, whichever comes first. If the price on Udemy no longer shows $0 when you click through, the coupon has expired since we last checked it.

    Do I keep access after the coupon expires?

    Yes. Once you enroll while the coupon is live, "AI for Cyber Security : Threat Detection, SOC Automation" is yours to keep on Udemy — including any future updates the instructor makes — even after the coupon runs out.

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