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Defending Against AI-Driven Phishing and Social Engineering · LearnSpace
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courseraIT и технологии

Defending Against AI-Driven Phishing and Social Engineering

Курс от LearnQuest
Начальный≈ 5.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Learners completing “Defend Against AI-Driven Phishing and Social Engineering” will master the skills needed to recognize, defend against, and simulate cutting-edge phishing campaigns powered by generative AI. By the end of the course, learners will: identify advanced features of AI-generated phishing emails; interpret attacker tactics and persuasive language; generate and test realistic scenarios using tools like SniperPhish and PentestGPT; and track engagement to discover vulnerabilities. Unique to this course is its hands-on, tool-focused approach, equipping entry-level cybersecurity professionals, technical support staff, and aspiring penetration testers with practical labs, real-world simulation, and instant feedback—requiring no prior AI or ML experience. Learners will benefit by acquiring the same skills employers expect for live engagements, bridging the gap between theory and automation, and preparing to address rapidly evolving, compliance-focused threats in diverse business environments.

Навыки, которые вы освоите

Threat DetectionAnomaly DetectionAI SecurityNetwork AnalysisUnsupervised LearningPrompt EngineeringApplied Machine LearningPenetration TestingSecurity AwarenessCyber AttacksGenerative AIEmail SecurityCyber Security AssessmentCybersecurity

Программа курса

3 модулей · 43 учебных материалов

01AI-Driven Phishing and Social Engineering17 материалов

Let's Get Started

Welcome to Defense with GenAIВидеоMeet the Expert: Rick BodnarВидеоLevel-Set with your CoachDIALOGUE

AI-Enhanced Phishing

Phishing with AIВидео

Учитесь у экспертов

LearnQuest Network

Преподаватель курса

Defending Against AI-Driven Phishing and Social Engineering
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 5.3 ч

3 модулей

Язык: Английский

Часть программы вашего университета
Action Story: The Suspicious CEO EmailЧтение
Scenario: SniperPhish with AIВидео
Demo: Interface, Quick Tracker, Web TrackerВидео
Demo: Create EmailВидео
Demo: Format Email & Link Web TrackersВидео
AI-Enhanced PhishingЗадание

AI-Enhanced Social Engineering

Action Story: The Unstoppable Fake VendorЧтениеSocial Engineering with AIВидеоDemo: Fake Personas with AIВидеоAI-Enhanced Social EngineeringЗаданиеThe Threat LandscapeDIALOGUE

Wrap-Up: AI-Driven Phishing and Social Engineering

Role-Play: Modern Phishing SpecialistDIALOGUEAI-Driven Phishing and Social Engineering - ExamЗадание
02Machine Learning for Network Anomaly Detection13 материалов

Let's Get Started

Turning Raw Scan Data into Actionable Security Insights: Why Real Analysis Beats GuessworkЧтение

Evaluating Isolation Forests

Evaluating Isolation ForestsВидеоAction Story: The Data Drift DeadlineЧтениеDemo: Nmap, Python, XMLВидеоDemo: Port DistributionВидеоDemo: ResultsВидеоEvaluating Isolation ForestsЗадание

Sample Size Analysis

Sample Size Analysis DemoЧтениеDemo: Generate ReportsВидеоDemo: Assessment ResultsВидеоNetwork Scan Data for Anomaly DetectionDIALOGUE

Wrap-Up: ML for Network Anomaly Detection

Role Play: Security Data StewardDIALOGUEUntitledЗадание
03AI-Driven Clustering for Network Traffic Analysis13 материалов

Let's Get Started

Hierarchical Clustering & New PatternsЧтение

Hierarchical Clustering for Network Security Monitoring

How Hierarchical Clustering worksВидеоAction Story: The Rogue Beacon ClusterЧтениеAdvantages and Disadvantages of Hierarchical ClusteringВидео

Demo: Hierarchical Clustering

Demo: Hierarchical ClusteringВидеоDemo: Interpreting ResultsВидеоUntitledDIALOGUE

Cluster Algorithm Fit

Demo: Choosing an algorithm for ClusteringВидеоDemo: Analyze and EvaluateВидеоUntitledЗадание

Wrap-Up: AI-Driven Clustering for Network Traffic Analysis

Role-Play: Clustering AnalystDIALOGUEAI-Driven Clustering for Network Traffic Analysis - ExamЗаданиеNext Steps in CybersecurityВидео