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Ai For Cybersecurity: Threat Detection & Soc Automation
Published 10/2025
Created by Selfcode Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 76 Lectures ( 23h 34m ) | Size: 25.7 GB[/center]

Learn how AI transforms cybersecurity with hands-on labs, SOC automation, threat detection, and real-world projects.
What you'll learn
Students will learn how Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are transforming modern cybersecurity operations.
Students will gain practical skills to build and apply AI-driven systems for threat detection, SOC automation, and incident response.
Students will learn how to use popular AI-based cybersecurity tools such as Darktrace, CrowdStrike, and SOAR platforms for automated defense workflows.
Students will be able to design, simulate, and implement AI-augmented SOC workflows using real-world datasets and automation tools.
Requirements
A basic understanding of cybersecurity or general IT concepts will be helpful but is not mandatory to start this course.
No prior experience with AI, machine learning, or programming is required - all essential concepts are explained from scratch.
Students will need access to a computer with an internet connection to explore hands-on labs, simulations, and AI-powered security tools.
An eagerness to explore how Artificial Intelligence is revolutionizing cybersecurity and automation will help maximize learning outcomes.
Description
Artificial Intelligence 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 CybersecurityLearn 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 DetectionUnderstand 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 IntelligenceDiscover 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 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.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 this course is for
This course is designed for cybersecurity professionals who want to integrate AI into real-world defense, threat detection, and incident response workflows.
It is ideal for SOC analysts, blue teamers, and incident responders looking to upskill in AI-based security automation and intelligent threat detection.
t is also perfect for AI and machine learning enthusiasts who wish to understand their application in cybersecurity through hands-on labs and projects.
Students, IT professionals, and security engineers who aspire to transition into next-generation AI-driven SOC or automated defense roles will greatly benefit from this course.